Advances in K-Means Clustering: A Data Mining Thinking JunJie Wu

ISBN: 9783642447570

Published: August 9th 2014

Paperback

180 pages


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Advances in K-Means Clustering: A Data Mining Thinking  by  JunJie Wu

Advances in K-Means Clustering: A Data Mining Thinking by JunJie Wu
August 9th 2014 | Paperback | PDF, EPUB, FB2, DjVu, audiobook, mp3, RTF | 180 pages | ISBN: 9783642447570 | 9.37 Mb

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 withMoreThe 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.



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