SAS/STAT Software

MODECLUS Procedure

The MODECLUS procedure clusters observations in a SAS data set by using any of several algorithms based on nonparametric density estimates. The following are highlights of the MODECLUS procedure's features:

  • data can be numeric coordinates or distances
  • performs approximate significance tests for the number of clusters and can hierarchically join nonsignificant clusters
  • produces output data sets containing:
    • density estimates and cluster membership
    • various cluster statistics including approximate p-values
    • a summary of the number of clusters generated by various algorithms
    • smoothing parameters
    • significance levels
  • performs BY group processing, which enables you to obtain separate analyses on grouped observations
  • creates a SAS data set that corresponds to any output table

For further details see the SAS/STAT User's Guide: The MODECLUS Procedure
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