Advances in K-means Clustering: A Data Mining Thinking - Springer Theses - Junjie Wu - Books - Springer-Verlag Berlin and Heidelberg Gm - 9783642447570 - August 9, 2014
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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.

180 pages, biography

Media Books     Paperback Book   (Book with soft cover and glued back)
Released August 9, 2014
ISBN13 9783642447570
Publishers Springer-Verlag Berlin and Heidelberg Gm
Pages 180
Dimensions 155 × 235 × 11 mm   ·   281 g
Language English  

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