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:
ISBN: | 9781611976328 |
Publication date: | 30th December 2020 |
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 |