Data Mining

pp 205-236


Cluster Analysis: Advanced Concepts

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

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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: