Data Mining pp 205-236 | Cite as

Cluster Analysis: Advanced Concepts

  • Charu C. AggarwalEmail author


In the previous chapter, the basic data clustering methods were introduced. In this chapter, several advanced clustering scenarios will be studied, such as the impact of the size, dimensionality, or type of the underlying data. In addition, it is possible to obtain significant insights with the use of advanced supervision methods, or with the use of ensemble-based algorithms. In particular, two important aspects of clustering algorithms will be addressed:


Cluster Algorithm Subspace Cluster Cluster Feature Previous Chapter Ensemble Cluster 
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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

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

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