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Classification, clustering, and data mining applications

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  • 658 pages
  • 24 hours of reading

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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.

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Classification, clustering, and data mining applications, David Banks

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Released
2004
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