2002 | OriginalPaper | Buchkapitel
Evolutionary Algorithms for Clustering
verfasst von : Dr. Alex A. Freitas
Erschienen in: Data Mining and Knowledge Discovery with Evolutionary Algorithms
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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In section 2.4 we reviewed the basic ideas of two major types of clustering methods, namely iterative-partitioning and hierarchical methods. In this chapter we discuss several issues in the development of Evolutionary Algorithms (EAs) for clustering following the iterative-partitioning approach, which seems the most common approach in the EA literature. (In passing, we mention that a couple of recent projects on GAs for clustering following the hierarchical approach can be found in [Rizzi 1998; Lozano and Larranaga 1999].)