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

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Data Clustering: Theory, Algorithms, and Applications, Second Edition is written by Guojun Gan and published by SIAM. It's available with International Standard Book Number or ISBN identification 1611976332 (ISBN 10) and 9781611976335 (ISBN 13).

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.