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Data Clustering - Theory, Algorithms, and Applications (Paperback, 2nd Revised edition) Loot Price: R2,658

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Repayment Terms: R249 pm x 12*

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Data Clustering - Theory, Algorithms, and Applications (Paperback, 2nd Revised edition): Guojun Gan, Chaoqun Ma, Jianhong Wu

Data Clustering - Theory, Algorithms, and Applications (Paperback, 2nd Revised edition)

Guojun Gan, Chaoqun Ma, Jianhong Wu

Series: Mathematics in Industry

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Was ~~R2,825~~ Loot Price R2,658 Discovery Miles 26 580 | Repayment Terms: R249 pm x 12* You Save R167 (6%)

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Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, 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. Data Clustering: Theory, Algorithms, and Applications, Second Edition: covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms.

General

Imprint:	Society For Industrial & Applied Mathematics,U.S.
Country of origin:	United States
Series:	Mathematics in Industry
Release date:	October 2020
Authors:	Guojun Gan • Chaoqun Ma • Jianhong Wu
Dimensions:	253 x 258 x 28mm (L x W x T)
Format:	Paperback
Pages:	406
Edition:	2nd Revised edition
ISBN-13:	978-1-61197-632-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Promotions
LSN:	1-61197-632-4
Barcode:	9781611976328