Unlocking Data Patterns with

Multidimensional Scaling (MDS)

What is MDS?

Multidimensional Scaling (MDS) visualizes distances between objects in lower dimensions.

Purpose of MDS

It simplifies complex data, revealing patterns and relationships among items.

Input Data

MDS uses a distance matrix to represent dissimilarities between objects.

Output Visualization

The result is a scatter plot where similar items are closer together.

Types of MDS

Includes Classical MDS and Non-Metric MDS, each with unique approaches.

Applications of MDS

Used in market research, psychology, and biology for data interpretation.

Benefits of MDS

Enhances understanding of complex datasets, aiding strategic decision-making.