Advances in K-means Clustering: A Data Mining Thinking - Springer Theses - Junjie Wu - Books - Springer-Verlag Berlin and Heidelberg Gm - 9783642298066 - July 10, 2012
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Junjie Wu
Advances in K-means Clustering: A Data Mining Thinking - Springer Theses 2012 edition

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The K-means algorithm is commonly used in data mining and business intelligence. This award-winning research pioneers its application to the intricacies of 'big data', detailing a theoretical framework for aggregating and validating clusters with K-means.

190 pages, 6 black & white illustrations, 44 colour illustrations, biography

Media Books     Hardcover Book   (Book with hard spine and cover)
Released July 10, 2012
ISBN13 9783642298066
Publishers Springer-Verlag Berlin and Heidelberg Gm
Pages 180
Dimensions 155 × 235 × 13 mm   ·   453 g
Language French  

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