Chapter

Data Mining

pp 153-204

Date:

Cluster Analysis

  • Charu C. AggarwalAffiliated withIBM T.J. Watson Research Center Email author 

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Abstract

Many applications require the partitioning of data points into intuitively similar groups. The partitioning of a large number of data points into a smaller number of groups helps greatly in summarizing the data and understanding it for a variety of data mining applications.