In this example, the same table is scored as was used to build the Cluster analysis model.
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Parameterize a Cluster Score analysis as follows:
- Selected Table — twm_customer_analysis
- Include Cluster Membership — Enabled
- Column Name — Clusterno
- Include Cluster Probability Scores — Enabled
- Column Prefix — p
- Result Table Name — twm_score_cluster_1
- Index Columns — cust_id
- Run the analysis.
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Click Results when it completes.
For this example, the Cluster Scoring analysis generated the following pages. A single click on each page name populates Results with the item.
Clustering Progress Iteration Log Likelihood Diff Timestamp 1 -24.3 0 Tue Jun 12 15:41:58 2001 Data cust_id p1 p2 p3 clusterno 1362509 .457 .266 .276 1 1362573 1.12E-22 1 0 2 1362589 6E-03 5.378E-03 .989 3 1362693 8.724E-03 8.926E-03 .982 3 1362716 3.184E-03 3.294E-03 .994 3 1362822 .565 .132 .303 1 1363017 7.267E-02 .927 1.031E-18 2 1363078 3.598E-03 3.687E-03 .993 3 1363438 2.366E-03 2.607E-03 .995 3 1363465 .115 5.923E-02 .826 3 … … … … … … … … … … … … … … …