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, 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