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Data Mining pp 153-204 | Cite as

Cluster Analysis

  • Charu C. Aggarwal
Chapter

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.

Keywords

Nonnegative Matrix Factorization Core Point Community Detection Algorithm Natural Cluster Density Attractor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.IBM T.J. Watson Research CenterYorktown HeightsUSA

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