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			Summary of Features

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Cluster Analysis Capabilities Added

See What's New in Wolfram Mathematica 6

A wide range of optimized cluster analysis capabilities have been added for Mathematica 5.1. Clustering of sets of numeric (n-dimensional), string, and Boolean data is computed using a range of different methods--selected automatically or manually--with built-in and user-definable distance functions.

Support is also included for computing and visualizing hierarchical or agglomerative clustering.

Get complete example
Example: Cluster Analysis

The following animation shows the clustering of data with different distance functions and numbers of cluster sets. Note that the same FindClusters function was used in all cases.

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Example: Making a Dendrogram

Clustering of data can be computed in a hierarchy of levels and displayed using built-in dendrogram plotting. In this example, the words in "The rain in Spain falls mainly on the plain" were analyzed.

Dendrogram: The the on in rain plain Spain mainly falls

Documentation
The ClusterAnalysis Package

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