Classification, Clustering, and Data Mining Applications

Classification, Clustering, and Data Mining Applications

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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.Phys., 111, 505-532(1987) 2. ... F, Klein, R.: Voronoi Diagrams. ... Springer- Vcrlag, Berlin Heidelberg ( 1994) 12. ... 202-203, (1999) Adaptive Monte Carlo Algorithms for Stopped Diffusion Anna Dzougoutov1, Kyoung-Sook Discrete Networkanbsp;...

Title:Classification, Clustering, and Data Mining Applications
Author: International Federation of Classification Societies. Conference, David Banks
Publisher:Springer Science & Business Media - 2004-06-09

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