Data Clustering

Theory, Algorithms, and Applications

Jianhong Wu author Guojun Gan author Chaoqun Ma author

Format:Paperback

Publisher:Society for Industrial & Applied Mathematics,U.S.

Published:30th Dec '20

Currently unavailable, and unfortunately no date known when it will be back

Data Clustering cover

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.

ISBN: 9781611976328

Dimensions: unknown

Weight: 870g

406 pages

2nd Revised edition