Generalized EM and k-Means Cluster Analysis

The term cluster analysis actually encompasses a number of different classification algorithms.

A general question facing researchers in many areas of inquiry is how to organize observed data into meaningful structures, that is, to develop taxonomies. Two options for cluster analysis include Generalized EM and k-Means clustering.

Note: Learn more about the object model by reading Statistica user documentation. The Statistica application's user interface and object model have similar options. The documentation contains overviews of the analytics, descriptions of the input and outputs for the analyses, and step-by-step examples.