Data Clustering Theory Algorithms and Applications Second Edition is popular PDF and ePub book, written by Guojun Gan in 2020-11-10, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Data Clustering Theory Algorithms and Applications Second Edition can be Read Online from any device for your convenience.
Data Clustering Theory Algorithms and Applications Second Edition Book PDF Summary
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.
Detail Book of Data Clustering Theory Algorithms and Applications Second Edition PDF
- Author : Guojun Gan
- Release : 10 November 2020
- Publisher : SIAM
- ISBN : 9781611976335
- Genre : Mathematics
- Total Page : 430 pages
- Language : English
- PDF File Size : 16,8 Mb
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