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Multivariate Methods

Multivariate methods describe the techniques for analyzing several variables simultaneously. The multivariate platform which includes clustering, factor and discriminant analysis examines multiple variables to see how they relate to each other. The aim is to reduce dimensions as well as an exploratory data analysis tool. In this tutorial we examine five key methods:

 

1. Hierarchical Clustering
2. K Means Clustering
3. Principal Components
4. Factor Analysis
5. Discriminant Analysis

 

Want to learn more? Then take a look at these Mastering JMP webinars on Multivariate Methods.

 

 

Multivariate methods describe the techniques for analyzing several variables simultaneously.