Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.
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Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.
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Add this copy of Data Science and Classification to cart. $42.00, very good condition, Sold by Atticus Books rated 3.0 out of 5 stars, ships from Toronto, ON, CANADA, published 2006 by Springer.
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Seller's Description:
New. Print on demand Trade paperback (US). Glued binding. 358 p. Contains: Illustrations, black & white, Tables, black & white. Studies in Classification, Data Analysis, and Knowledge Orga.