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 ...
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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, and provides program code that helps users implement clustering algorithms.
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Add this copy of Data Clustering: Theory, Algorithms, and Applications, to cart. $91.17, Sold by Zubal Books rated 4.0 out of 5 stars, ships from Cleveland, OH, UNITED STATES, published 2020 by SIAM-Society for Industrial and Applied Mathematics.
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2020, Society for Industrial and Applied Mathematics (SIAM)
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Society for Industrial and Applied Mathematics (SIAM)
Published:
2020
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English
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Edition:
2020, Society for Industrial and Applied Mathematics (SIAM)
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Society for Industrial and Applied Mathematics (SIAM)
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English
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2020, Society for Industrial and Applied Mathematics (SIAM)
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Edition:
2020, Society for Industrial and Applied Mathematics (SIAM)
