DB2 graphic QMF Version 8

Clustering

The functions Q.PredictClusterID, Q.PredictClusConf and Q.PredictClusScore are based on a mining technique called clustering. This data mining technique discovers sets of rows with common characteristics, or clusters, so that the rows are possibly homogeneous inside a cluster and possibly heterogeneous between two clusters.

This technique is typically used for customer segmentation and profiling. It divides customers into groups, based on parameters such as usage patterns, cross-selling opportunities, and demographic data.


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Copyright IBM Corporation 1982,2004 Copyright IBM Corporation 1982, 2004
timestamp Last updated: March, 2004