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Data Clustering

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Data Clustering Synopsis

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.

About This Edition

ISBN: 9781611976328
Publication date:
Author: Guojun Gan, Chaoqun Ma, Jianhong Wu
Publisher: Society for Industrial and Applied Mathematics an imprint of SIAM - Society for Industrial and Applied Mathematics
Format: Paperback
Pagination: 406 pages
Series: Mathematics in Industry
Genres: Applied mathematics
Probability and statistics