{"id":56,"date":"2021-06-29T23:29:29","date_gmt":"2021-06-29T23:29:29","guid":{"rendered":"https:\/\/wordpress-288344-1043469.cloudwaysapps.com\/how-can-my-business-win-awards-copy\/"},"modified":"2024-08-14T06:25:02","modified_gmt":"2024-08-14T06:25:02","slug":"what-is-clustering-anyway","status":"publish","type":"post","link":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/","title":{"rendered":"What is Clustering in Machine Learning?"},"content":{"rendered":"<p><b>Summary:<\/b><span style=\"font-weight: 400;\"> Clustering in machine learning has numerous applications across various domains, including customer segmentation and targeted marketing, image segmentation for object detection, anomaly detection for fraud and intrusion identification, recommendation systems for personalised suggestions, and bioinformatics for analysing gene expression data. Its versatility makes it a valuable tool for extracting insights from complex datasets.<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Introduction\" >Introduction<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Understanding_Clustering\" >Understanding Clustering<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Types_of_Clustering_Algorithms\" >Types of Clustering Algorithms<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#K-Means_Clustering\" >K-Means Clustering<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Hierarchical_Clustering\" >Hierarchical Clustering<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#DBSCAN_Density-Based_Spatial_Clustering_of_Applications_with_Noise\" >DBSCAN (Density-Based Spatial Clustering of Applications with Noise)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Gaussian_Mixture_Models_GMM\" >Gaussian Mixture Models (GMM)<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Applications_of_Clustering\" >Applications of Clustering<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Customer_Segmentation_and_Marketing\" >Customer Segmentation and Marketing<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Image_Segmentation\" >Image Segmentation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Anomaly_Detection\" >Anomaly Detection<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Recommendation_Systems\" >Recommendation Systems<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Bioinformatics\" >Bioinformatics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Social_Network_Analysis\" >Social Network Analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Traffic_Analysis\" >Traffic Analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Climate_Analysis\" >Climate Analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Healthcare\" >Healthcare<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Manufacturing\" >Manufacturing<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Choosing_the_Right_Clustering_Algorithm\" >Choosing the Right Clustering Algorithm<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Evaluating_Clustering_Performance\" >Evaluating Clustering Performance<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Conclusion\" >Conclusion<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#What_Is_the_Difference_Between_Clustering_and_Classification\" >What Is the Difference Between Clustering and Classification?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#How_Do_I_Determine_the_Optimal_Number_of_Clusters\" >How Do I Determine the Optimal Number of Clusters?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-25\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#How_Do_I_Handle_High-Dimensional_Data_in_Clustering\" >How Do I Handle High-Dimensional Data in Clustering?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"Introduction\"><\/span><b>Introduction<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/pickl.ai\/blog\/types-of-clustering-algorithms\/\"><span style=\"font-weight: 400;\">Clustering is a fundamental unsupervised Machine Learning technique<\/span><\/a><span style=\"font-weight: 400;\"> that aims to group similar data points together based on their inherent characteristics. Unlike supervised learning, clustering does not require labelled data; instead, it discovers hidden patterns and insights by organising data into meaningful groups.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This blog post will delve into the concept of clustering, its applications, and the various algorithms used in <\/span><a href=\"https:\/\/pickl.ai\/blog\/how-to-build-a-machine-learning-model\/\"><span style=\"font-weight: 400;\">Machine Learning<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><b>Learn More: <\/b><a href=\"https:\/\/pickl.ai\/blog\/classification-vs-clustering-unfolding-the-differences\/\"><b>Difference Between Classification and Clustering<\/b><\/a><\/p>\n<h2 id=\"understanding-clustering\"><span class=\"ez-toc-section\" id=\"Understanding_Clustering\"><\/span><b>Understanding Clustering<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Clustering is the process of partitioning a dataset into subsets or clusters, where data points within each cluster are more similar to each other than to data points in other clusters.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The similarity between data points typically measured using distance metrics such as Euclidean distance, Manhattan distance, or cosine similarity. The goal is to maximise the similarity within clusters while minimising the similarity between clusters.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Clustering algorithms work by iteratively adjusting the cluster assignments of data points until an optimal configuration reached. The number of clusters can either be specified in advance or determined by the algorithm itself, depending on the specific clustering method used.<\/span><\/p>\n<h2 id=\"types-of-clustering-algorithms\"><span class=\"ez-toc-section\" id=\"Types_of_Clustering_Algorithms\"><\/span><b>Types of Clustering Algorithms<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-13731\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image2.jpg\" alt=\"Types of Clustering Algorithms\" width=\"1000\" height=\"333\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image2.jpg 1000w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image2-300x100.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image2-768x256.jpg 768w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image2-110x37.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image2-200x67.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image2-380x127.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image2-255x85.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image2-550x183.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image2-800x266.jpg 800w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image2-150x50.jpg 150w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">There are several types of clustering algorithms, each with its own strengths and weaknesses. Here are some of the most common clustering algorithms in Machine Learning:<\/span><\/p>\n<h3 id=\"k-means-clustering\"><span class=\"ez-toc-section\" id=\"K-Means_Clustering\"><\/span><b>K-Means Clustering<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">K-Means a popular centroid-based clustering algorithm that partitions the data into K clusters. It works by iteratively assigning data points to the nearest cluster centroid and updating the centroid positions until convergence. K-Means is efficient and scalable, but it assumes that clusters are spherical and have equal variance.<\/span><\/p>\n<h3 id=\"hierarchical-clustering\"><span class=\"ez-toc-section\" id=\"Hierarchical_Clustering\"><\/span><b>Hierarchical Clustering<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a href=\"https:\/\/pickl.ai\/blog\/detailed-explanation-what-is-hierarchical-clustering\/\"><span style=\"font-weight: 400;\">Hierarchical clustering<\/span><\/a><span style=\"font-weight: 400;\"> builds a hierarchy of clusters by merging or splitting clusters based on their proximity. It can be further divided into agglomerative and divisive clustering.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Agglomerative clustering starts with each data point as a separate cluster and iteratively merges the closest clusters, while divisive clustering starts with all data points in one cluster and iteratively splits clusters.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Hierarchical clustering can handle clusters of different shapes and sizes, but it is computationally expensive.<\/span><\/p>\n<h3 id=\"dbscan-density-based-spatial-clustering-of-applications-with-noise\"><span class=\"ez-toc-section\" id=\"DBSCAN_Density-Based_Spatial_Clustering_of_Applications_with_Noise\"><\/span><b>DBSCAN (Density-Based Spatial Clustering of Applications with Noise)<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">DBSCAN is a density-based clustering algorithm that groups together data points that are close to each other based on density. It can identify clusters of arbitrary shape and is robust to noise. DBSCAN requires two parameters: the minimum number of data points required to form a cluster and the maximum distance between two data points for them to be considered in the same neighbourhood.<\/span><\/p>\n<h3 id=\"gaussian-mixture-models-gmm\"><span class=\"ez-toc-section\" id=\"Gaussian_Mixture_Models_GMM\"><\/span><b>Gaussian Mixture Models (GMM)<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">GMM is a model-based clustering algorithm that assumes that the data generated from a mixture of Gaussian distributions. It estimates the parameters of the Gaussian distributions and assigns data points to clusters based on the probability of belonging to each distribution. GMM can handle overlapping clusters and is useful when the clusters have different sizes and densities.<\/span><\/p>\n<h2 id=\"applications-of-clustering\"><span class=\"ez-toc-section\" id=\"Applications_of_Clustering\"><\/span><b>Applications of Clustering<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-13732\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image1.jpg\" alt=\"Applications of Clustering\" width=\"1000\" height=\"333\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image1.jpg 1000w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image1-300x100.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image1-768x256.jpg 768w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image1-110x37.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image1-200x67.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image1-380x127.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image1-255x85.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image1-550x183.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image1-800x266.jpg 800w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image1-150x50.jpg 150w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p><a href=\"https:\/\/pickl.ai\/blog\/detailed-explanation-what-is-hierarchical-clustering\/\"><span style=\"font-weight: 400;\">Clustering<\/span><\/a><span style=\"font-weight: 400;\"> has a wide range of applications across various domains. It includes customer segmentation, image analysis, anomaly detection, and recommendation systems. Its ability to group similar data points allows for enhanced insights and decision-making in diverse applications. Here are some of the key applications of clustering techniques:<\/span><\/p>\n<h3 id=\"customer-segmentation-and-marketing\"><span class=\"ez-toc-section\" id=\"Customer_Segmentation_and_Marketing\"><\/span><b>Customer Segmentation and Marketing<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Clustering is extensively use in marketing to segment customers based on their behaviour, preferences, or demographics. This enables targeted marketing campaigns and personalised recommendations.<\/span><\/p>\n<h3 id=\"image-segmentation\"><span class=\"ez-toc-section\" id=\"Image_Segmentation\"><\/span><b>Image Segmentation<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">In computer vision, clustering used to partition an image into meaningful regions or objects. This is useful for tasks such as object detection, recognition, and tracking.<\/span><\/p>\n<h3 id=\"anomaly-detection\"><span class=\"ez-toc-section\" id=\"Anomaly_Detection\"><\/span><b>Anomaly Detection<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Clustering can identify outliers or anomalies in data that do not belong to any cluster. This is valuable for fraud detection in finance, network intrusion detection in cybersecurity, and fault diagnosis in manufacturing.<\/span><\/p>\n<h3 id=\"recommendation-systems\"><span class=\"ez-toc-section\" id=\"Recommendation_Systems\"><\/span><b>Recommendation Systems<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">It is use to group similar items or users together, enabling collaborative filtering and content-based recommendations in applications like e-commerce and entertainment.<\/span><\/p>\n<h3 id=\"bioinformatics\"><span class=\"ez-toc-section\" id=\"Bioinformatics\"><\/span><b>Bioinformatics<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Clustering finds application in revolutionising the <\/span><a href=\"https:\/\/pickl.ai\/blog\/bioinformatics-scientists\/\"><span style=\"font-weight: 400;\">bioinformatics domain<\/span><\/a><span style=\"font-weight: 400;\">. In bioinformatics, clustering is used to analyse gene expression data, identify protein families, and classify biological sequences.<\/span><\/p>\n<h3 id=\"social-network-analysis\"><span class=\"ez-toc-section\" id=\"Social_Network_Analysis\"><\/span><b>Social Network Analysis<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Clustering helps identify communities or groups within social networks, providing insights into social behaviour, influence, and trends.<\/span><\/p>\n<h3 id=\"traffic-analysis\"><span class=\"ez-toc-section\" id=\"Traffic_Analysis\"><\/span><b>Traffic Analysis<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Clustering groups similar patterns of traffic data, such as peak hours, routes, and speeds, which can help in improving transportation planning and infrastructure.<\/span><\/p>\n<h3 id=\"climate-analysis\"><span class=\"ez-toc-section\" id=\"Climate_Analysis\"><\/span><b>Climate Analysis<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Clustering groups similar patterns of climate data, such as temperature, precipitation, and wind, which can help in understanding climate change and its impact on the environment.<\/span><\/p>\n<h3 id=\"healthcare\"><span class=\"ez-toc-section\" id=\"Healthcare\"><\/span><b>Healthcare<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Clustering is used in healthcare to identify patients with unusual medical conditions or treatment responses, enabling personalised medicine.<\/span><\/p>\n<h3 id=\"manufacturing\"><span class=\"ez-toc-section\" id=\"Manufacturing\"><\/span><b>Manufacturing<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Manufacturers use clustering to monitor production processes and maintain quality control by identifying unusual product measurements.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These are just a few examples of the diverse applications of clustering in various industries and domains. As data continues to grow in volume and complexity, the importance of clustering techniques for extracting meaningful insights will only increase.<\/span><\/p>\n<h2 id=\"choosing-the-right-clustering-algorithm\"><span class=\"ez-toc-section\" id=\"Choosing_the_Right_Clustering_Algorithm\"><\/span><b>Choosing the Right Clustering Algorithm<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Selecting the appropriate clustering algorithm depends on several factors, such as the size and dimensionality of the dataset, the desired properties of the clusters (e.g., shape, density, size), and the computational resources available. Here are some guidelines for choosing the right clustering algorithm:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">If the clusters are expected to be of similar size and density, K-Means is a good choice.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">If the clusters have different sizes and densities, DBSCAN or Gaussian Mixture Models may be more appropriate.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">If the number of clusters is not known in advance, hierarchical clustering can be a good option.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\u00a0<\/span><span style=\"font-weight: 400;\">If the dataset is large and computationally efficient clustering is required, K-Means or DBSCAN are preferred.<\/span><\/li>\n<\/ul>\n<h3 id=\"evaluating-clustering-performance\"><span class=\"ez-toc-section\" id=\"Evaluating_Clustering_Performance\"><\/span><b>Evaluating Clustering Performance<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Evaluating the performance of clustering algorithms is challenging because there are no ground truth labels available. However, there are several metrics that can be used to assess the quality of the clustering results, such as:<\/span><\/p>\n<p><b>Silhouette Score<\/b><span style=\"font-weight: 400;\">: Measures the similarity of a data point to its own cluster compared to other clusters. It ranges from -1 to 1, with higher values indicating better clustering.<\/span><\/p>\n<p><b>Calinski-Harabasz Index:<\/b><span style=\"font-weight: 400;\"> Measures the ratio of the between-cluster variance to the within-cluster variance. Higher values indicate better clustering.<\/span><\/p>\n<p><b>Davies-Bouldin Index:<\/b><span style=\"font-weight: 400;\"> Measures the average similarity between each cluster and its most similar cluster. Lower values indicate better clustering.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is important to note that these metrics provide a quantitative assessment of clustering performance, but they may not always align with the desired properties of the clusters for a specific application. Therefore, it is essential to evaluate the clustering results qualitatively and in the context of the problem domain.<\/span><\/p>\n<p><b>Explore More:<\/b><a href=\"https:\/\/pickl.ai\/blog\/types-of-clustering-algorithms\/\"><b> Types of Clustering Algorithms<\/b><\/a><\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><b>Conclusion<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Clustering is a powerful unsupervised learning technique that can uncover hidden patterns and insights in data. By grouping similar data points together, clustering enables a better understanding of the underlying structure of the data and can be applied to a wide range of applications.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As the amount of data continues to grow, the ability to effectively cluster and analyse data will become increasingly important for making informed decisions and driving innovation.<\/span><\/p>\n<h2 id=\"frequently-asked-questions\"><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span><b>Frequently Asked Questions<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"what-is-the-difference-between-clustering-and-classification\"><span class=\"ez-toc-section\" id=\"What_Is_the_Difference_Between_Clustering_and_Classification\"><\/span><b>What Is the Difference Between Clustering and Classification?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Clustering is an unsupervised learning technique that groups similar data points together without any prior knowledge of the labels or categories. Classification, on the other hand, is a supervised learning technique that assigns data points to predefined categories or classes based on labelled training data.<\/span><\/p>\n<h3 id=\"how-do-i-determine-the-optimal-number-of-clusters\"><span class=\"ez-toc-section\" id=\"How_Do_I_Determine_the_Optimal_Number_of_Clusters\"><\/span><b>How Do I Determine the Optimal Number of Clusters?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">There is no single best way to determine the optimal number of clusters. Some common methods include using the elbow method, which plots the within-cluster sum of squares (WCSS) against the number of clusters and looks for a &#8220;knee&#8221; in the plot.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You can also use information criteria such as the Akaike Information Criterion (AIC) or Bayesian Information Criterion (BIC).<\/span><\/p>\n<h3 id=\"how-do-i-handle-high-dimensional-data-in-clustering\"><span class=\"ez-toc-section\" id=\"How_Do_I_Handle_High-Dimensional_Data_in_Clustering\"><\/span><b>How Do I Handle High-Dimensional Data in Clustering?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">High-dimensional data can be challenging for clustering algorithms due to the curse of dimensionality. Some strategies for handling high-dimensional data include dimensionality reduction techniques such as Principal Component Analysis (PCA) or t-SNE, feature selection to identify the most informative features, or using algorithms that are specifically designed for high-dimensional data such as CLIQUE or MAFIA.<\/span><\/p>\n<p align=\"justify\">\n","protected":false},"excerpt":{"rendered":"Clustering enables powerful applications in marketing, computer vision, security, and more.\n","protected":false},"author":3,"featured_media":13733,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[2],"tags":[25],"ppma_author":[2172,2627],"class_list":{"0":"post-56","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-machine-learning","8":"tag-machine-learning"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>What is Clustering in Machine Learning- Pickl.AI<\/title>\n<meta name=\"description\" content=\"Explore the wide range of applications for clustering in Machine Learning, from customer segmentation and image analysis to anomaly detection\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is Clustering in Machine Learning?\" \/>\n<meta property=\"og:description\" content=\"Explore the wide range of applications for clustering in Machine Learning, from customer segmentation and image analysis to anomaly detection\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/\" \/>\n<meta property=\"og:site_name\" content=\"Pickl.AI\" \/>\n<meta property=\"article:published_time\" content=\"2021-06-29T23:29:29+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-08-14T06:25:02+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image3.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Ayush Pareek, Hitesh bijja\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ayush Pareek\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/what-is-clustering-anyway\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/what-is-clustering-anyway\\\/\"},\"author\":{\"name\":\"Ayush Pareek\",\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/#\\\/schema\\\/person\\\/a81717c0202750d6049d7d437fbef910\"},\"headline\":\"What is Clustering in Machine Learning?\",\"datePublished\":\"2021-06-29T23:29:29+00:00\",\"dateModified\":\"2024-08-14T06:25:02+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/what-is-clustering-anyway\\\/\"},\"wordCount\":1399,\"image\":{\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/what-is-clustering-anyway\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/wp-content\\\/uploads\\\/2021\\\/06\\\/image3.jpg\",\"keywords\":[\"Machine Learning\"],\"articleSection\":[\"Machine Learning\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/what-is-clustering-anyway\\\/\",\"url\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/what-is-clustering-anyway\\\/\",\"name\":\"What is Clustering in Machine Learning- Pickl.AI\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/what-is-clustering-anyway\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/what-is-clustering-anyway\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/wp-content\\\/uploads\\\/2021\\\/06\\\/image3.jpg\",\"datePublished\":\"2021-06-29T23:29:29+00:00\",\"dateModified\":\"2024-08-14T06:25:02+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/#\\\/schema\\\/person\\\/a81717c0202750d6049d7d437fbef910\"},\"description\":\"Explore the wide range of applications for clustering in Machine Learning, from customer segmentation and image analysis to anomaly detection\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/what-is-clustering-anyway\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/what-is-clustering-anyway\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/what-is-clustering-anyway\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/wp-content\\\/uploads\\\/2021\\\/06\\\/image3.jpg\",\"contentUrl\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/wp-content\\\/uploads\\\/2021\\\/06\\\/image3.jpg\",\"width\":1200,\"height\":628,\"caption\":\"What is Clustering in Machine Learning?\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/what-is-clustering-anyway\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Machine Learning\",\"item\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/category\\\/machine-learning\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"What is Clustering in Machine Learning?\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/\",\"name\":\"Pickl.AI\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/#\\\/schema\\\/person\\\/a81717c0202750d6049d7d437fbef910\",\"name\":\"Ayush Pareek\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7bfcdda100a4723e89d64a3ff8f321b0ad4342b3b47b01444506df10d6a805a8?s=96&d=mm&r=gea466415c257b7d07cbd895892ed1f5a\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7bfcdda100a4723e89d64a3ff8f321b0ad4342b3b47b01444506df10d6a805a8?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7bfcdda100a4723e89d64a3ff8f321b0ad4342b3b47b01444506df10d6a805a8?s=96&d=mm&r=g\",\"caption\":\"Ayush Pareek\"},\"description\":\"I am a programmer, who loves all things code. I have been writing about data science and other allied disciplines like machine learning and artificial intelligence ever since June 2021. You can check out my articles at pickl.ai\\\/blog\\\/author\\\/ayushpareek\\\/ I have been doing my undergrad in engineering at Jadavpur University since 2019. When not debugging issues, I can be found reading articles online that concern history, languages, and economics, among other topics. I can be reached on LinkedIn and via my email.\",\"sameAs\":[\"https:\\\/\\\/www.linkedin.com\\\/in\\\/pareek-ayush\\\/\"],\"url\":\"https:\\\/\\\/www.pickl.ai\\\/blog\\\/author\\\/ayushpareek\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"What is Clustering in Machine Learning- Pickl.AI","description":"Explore the wide range of applications for clustering in Machine Learning, from customer segmentation and image analysis to anomaly detection","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/","og_locale":"en_US","og_type":"article","og_title":"What is Clustering in Machine Learning?","og_description":"Explore the wide range of applications for clustering in Machine Learning, from customer segmentation and image analysis to anomaly detection","og_url":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/","og_site_name":"Pickl.AI","article_published_time":"2021-06-29T23:29:29+00:00","article_modified_time":"2024-08-14T06:25:02+00:00","og_image":[{"width":1200,"height":628,"url":"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image3.jpg","type":"image\/jpeg"}],"author":"Ayush Pareek, Hitesh bijja","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Ayush Pareek","Est. reading time":"7 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#article","isPartOf":{"@id":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/"},"author":{"name":"Ayush Pareek","@id":"https:\/\/www.pickl.ai\/blog\/#\/schema\/person\/a81717c0202750d6049d7d437fbef910"},"headline":"What is Clustering in Machine Learning?","datePublished":"2021-06-29T23:29:29+00:00","dateModified":"2024-08-14T06:25:02+00:00","mainEntityOfPage":{"@id":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/"},"wordCount":1399,"image":{"@id":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#primaryimage"},"thumbnailUrl":"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image3.jpg","keywords":["Machine Learning"],"articleSection":["Machine Learning"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/","url":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/","name":"What is Clustering in Machine Learning- Pickl.AI","isPartOf":{"@id":"https:\/\/www.pickl.ai\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#primaryimage"},"image":{"@id":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#primaryimage"},"thumbnailUrl":"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image3.jpg","datePublished":"2021-06-29T23:29:29+00:00","dateModified":"2024-08-14T06:25:02+00:00","author":{"@id":"https:\/\/www.pickl.ai\/blog\/#\/schema\/person\/a81717c0202750d6049d7d437fbef910"},"description":"Explore the wide range of applications for clustering in Machine Learning, from customer segmentation and image analysis to anomaly detection","breadcrumb":{"@id":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#primaryimage","url":"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image3.jpg","contentUrl":"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image3.jpg","width":1200,"height":628,"caption":"What is Clustering in Machine Learning?"},{"@type":"BreadcrumbList","@id":"https:\/\/www.pickl.ai\/blog\/what-is-clustering-anyway\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.pickl.ai\/blog\/"},{"@type":"ListItem","position":2,"name":"Machine Learning","item":"https:\/\/www.pickl.ai\/blog\/category\/machine-learning\/"},{"@type":"ListItem","position":3,"name":"What is Clustering in Machine Learning?"}]},{"@type":"WebSite","@id":"https:\/\/www.pickl.ai\/blog\/#website","url":"https:\/\/www.pickl.ai\/blog\/","name":"Pickl.AI","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.pickl.ai\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/www.pickl.ai\/blog\/#\/schema\/person\/a81717c0202750d6049d7d437fbef910","name":"Ayush Pareek","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/7bfcdda100a4723e89d64a3ff8f321b0ad4342b3b47b01444506df10d6a805a8?s=96&d=mm&r=gea466415c257b7d07cbd895892ed1f5a","url":"https:\/\/secure.gravatar.com\/avatar\/7bfcdda100a4723e89d64a3ff8f321b0ad4342b3b47b01444506df10d6a805a8?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/7bfcdda100a4723e89d64a3ff8f321b0ad4342b3b47b01444506df10d6a805a8?s=96&d=mm&r=g","caption":"Ayush Pareek"},"description":"I am a programmer, who loves all things code. I have been writing about data science and other allied disciplines like machine learning and artificial intelligence ever since June 2021. You can check out my articles at pickl.ai\/blog\/author\/ayushpareek\/ I have been doing my undergrad in engineering at Jadavpur University since 2019. When not debugging issues, I can be found reading articles online that concern history, languages, and economics, among other topics. I can be reached on LinkedIn and via my email.","sameAs":["https:\/\/www.linkedin.com\/in\/pareek-ayush\/"],"url":"https:\/\/www.pickl.ai\/blog\/author\/ayushpareek\/"}]}},"jetpack_featured_media_url":"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/06\/image3.jpg","authors":[{"term_id":2172,"user_id":3,"is_guest":0,"slug":"ayushpareek","display_name":"Ayush Pareek","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/7bfcdda100a4723e89d64a3ff8f321b0ad4342b3b47b01444506df10d6a805a8?s=96&d=mm&r=g","first_name":"Ayush","user_url":"","last_name":"Pareek","description":"I am a programmer, who loves all things code. I have been writing about data science and other allied disciplines like machine learning and artificial intelligence ever since June 2021. You can check out my articles at pickl.ai\/blog\/author\/ayushpareek\/\r\n\r\nI have been doing my undergrad in engineering at Jadavpur University since 2019. When not debugging issues, I can be found reading articles online that concern history, languages, and economics, among other topics. I can be reached on LinkedIn and via my email."},{"term_id":2627,"user_id":34,"is_guest":0,"slug":"hiteshbijja","display_name":"Hitesh bijja","avatar_url":"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2024\/07\/avatar_user_34_1722405514-96x96.jpeg","first_name":"Hitesh","user_url":"","last_name":"bijja","description":"Hitesh has graduated from Indian Institute of Technology Varanasi in 2024 and majored in Metallurgical engineering. He also worked as an Analyst at Corizo from 2022 to 2023, which further solidified his passion for this field and provided with valuable hands-on experience. In free time, he enjoys listening to music, playing cricket, and reading books related to business, product development, and mythology."}],"_links":{"self":[{"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/posts\/56","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/comments?post=56"}],"version-history":[{"count":10,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/posts\/56\/revisions"}],"predecessor-version":[{"id":13735,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/posts\/56\/revisions\/13735"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/media\/13733"}],"wp:attachment":[{"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/media?parent=56"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/categories?post=56"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/tags?post=56"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/ppma_author?post=56"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}