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SAS® Help Center
SAS Enterprise Miner: High-Performance Procedures
|PDF 
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  • Credits and Acknowledgments
  • Introduction
  • Shared Concepts and Topics
  • The HP4SCORE Procedure
  • The HPBNET Procedure
  • The HPCLUS Procedure
    • Overview: HPCLUS Procedure
    • Getting Started: HPCLUS Procedure
    • Syntax: HPCLUS Procedure
    • Details: HPCLUS Procedure
      • Obtaining the Statistics for Clustering
      • Missing Values
      • Initial Seed Selection
      • Standardization
      • Finding the Number of Clusters
      • Clustering Nominal Variables
      • Displayed Output
        • Performance Information
        • Model Information
        • Number of Observations
        • Aligned Box Criterion Parameters
        • Aligned Box Criterion Statistics
        • Estimated Number of Clusters
        • Cluster Summary
        • Cluster Summary for Nominal Variables
        • Iteration Statistics
        • Descriptive Statistics
        • Descriptive Statistics for Nominal Variables
        • Within-Cluster Statistics
        • Within-Cluster Frequencies for Nominal Variables
        • Standardization
        • Timing
      • ODS Table Names
    • Examples: HPCLUS Procedure
    • References
  • The HPDECIDE Procedure
  • The HPFOREST Procedure
  • The HPNEURAL Procedure
  • The HPREDUCE Procedure
  • The HPSVM Procedure
Version
 

The HPCLUS Procedure

Aligned Box Criterion Parameters

The "ABC Parameters" table displays the following:

  • minimum number of clusters that are searched

  • maximum number of clusters that are searched

  • reference distribution count

  • alignment method used for determining the region for generating the reference data set

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