JMP Learning Library

Multivariate Methods

Learn statistical tools to explore and describe multi-dimensional data. Group together observations most similar to each other, reduce the number of variables in a dataset to describe features in the data and simplify subsequent analyses.

ClusteringForm clusters (groups) of observations having similar characteristics (K-Means and Hierarchical Clustering).
Principal Components AnalysisReduce the dimensionality of a data set by creating new variables that are linear combinations of the original variables.

Factor AnalysisDescribe the variability in observed variables in terms of a smaller number of unobserved variables or factors.

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