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portada Data Clustering. Theory, Algorithms, and Applications
Type
Physical Book
Publisher
Author
Collection
Mathematics in Industry
Year
2020
Language
English
Pages
406
Format
Paperback
ISBN13
9781611976328

Data Clustering. Theory, Algorithms, and Applications

Guojun Gan;Chaoqun Ma;Jianhong Wu (Author) · SIAM - Society for Industrial and Applied Mathematics · Paperback

Data Clustering. Theory, Algorithms, and Applications - Guojun Gan;Chaoqun Ma;Jianhong Wu

New Book Imported to New Zealand
Delivery: 16 Jul - 24 Jul Shipping: 11 to 13 business days.
NZ$ 252.27
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Synopsis "Data Clustering. Theory, Algorithms, and Applications"

Data clustering is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this book, 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, 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:covers the basics of data clustering,includes a list of popular clustering algorithms, andprovides program code that helps users implement clustering algorithms.

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