Data Clustering: Theory, Algorithms, and Applications, Second Edition

Released on by Guojun Gan
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  • Data Clustering: Theory, Algorithms, and Applications, Second Edition Book Detail

  • Author : Guojun Gan
  • Release Date : 2020-11-10
  • Publisher : SIAM
  • Genre : Mathematics
  • Pages : 430
  • ISBN 13 : 1611976332
  • File Size : 43,43 MB
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Data Clustering: Theory, Algorithms, and Applications, Second Edition by Guojun Gan PDF Summary

Book Description: 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, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.

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