Data Clustering: Theory, Algorithms, and Applications - Mathematics in Industry - Guojun Gan - Books - Society for Industrial & Applied Mathema - 9781611976328 - December 30, 2020
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Data Clustering: Theory, Algorithms, and Applications - Mathematics in Industry 2 Revised edition


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Data clustering is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this book, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments.


406 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released December 30, 2020
ISBN13 9781611976328
Publishers Society for Industrial & Applied Mathema
Pages 406
Dimensions 258 × 253 × 28 mm   ·   886 g

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