Data Clustering : Theory, Algorithms, and Applications Paperback / softback
by Guojun Gan, Chaoqun Ma, Jianhong Wu
Part of the Mathematics in Industry series
Paperback / softback
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. Data Clustering: Theory, Algorithms, and Applications, Second Edition:covers the basics of data clustering,includes a list of popular clustering algorithms, andprovides program code that helps users implement clustering algorithms.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:406 pages
- Publisher:Society for Industrial & Applied Mathematics,U.S.
- Publication Date:30/12/2020
- Category:
- ISBN:9781611976328
Other Formats
- Paperback from £118.00
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:406 pages
- Publisher:Society for Industrial & Applied Mathematics,U.S.
- Publication Date:30/12/2020
- Category:
- ISBN:9781611976328
