TwoStep Cluster Analysis

The TwoStep Cluster Analysis procedure is an exploratory tool designed to reveal natural groupings (or clusters) within a data set that would otherwise not be apparent. The algorithm employed by this procedure has several desirable features that differentiate it from traditional clustering techniques:

• The ability to create clusters based on both categorical and continuous variables.
• Automatic selection of the number of clusters.
• The ability to analyze large data files efficiently.

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