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Data clustering. Theory, algorithms, and applications. 2nd edition. (English) Zbl 1483.68001

Mathematics in Industry (Philadelphia) 5. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM) (ISBN 978-1-61197-632-8/pbk; 978-1-61197-633-5/ebook). xxiii, 406 p. (2021).
This is the second edition of a book on the principles, algorithms and applications of clustering. It covers the basic notions, then outlines a number of algorithms grouped by conceptual categories and finally provides examples and code. It is a good reference book for those taking their first steps into the field as well as for experienced researchers.
For the first edition see [Zbl 1185.68274].

MSC:

68-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science
62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
62H30 Classification and discrimination; cluster analysis (statistical aspects)
62R07 Statistical aspects of big data and data science
68T05 Learning and adaptive systems in artificial intelligence
68T09 Computational aspects of data analysis and big data
68T10 Pattern recognition, speech recognition
92-08 Computational methods for problems pertaining to biology

Citations:

Zbl 1185.68274
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