Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach

Guojun Gan

Chaoqun Ma

Hong Xie

wiley

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: <ul> <li>covers the basics of data clustering,</li> <li>includes a list of popular clustering algorithms, and</li> <li>provides program code that helps users implement clustering algorithms.</li> </ul>

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

Jianhong Wu

SIAM: Society for Industrial and Applied Mathematics

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Books by Chaoqun Ma