Classification, Clustering, and Data Mining Applications

Beschreibung

Modern data analysis stands at the interface of statistics, computer science, and discrete mathematics. This volume describes new methods in this area, with special emphasis on classification and cluster analysis. Those methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.
Includes supplementary material: sn.pub/extras

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David Banks

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Cluster analysis Graph Projection pursuit Sim Vertex algorithms clustering complexity computer science data analysis data mining database expectation–maximization algorithm modeling optimization

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