[PDF.14vh] Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)

Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)

[PDF.dv50] Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)

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 | #2595399 in Books |  SIAM, Society for Industrial and Applied Mathematics |  2007-05-30 | Original language:English |  9.72 x1.02 x6.85l,.18 | File type: PDF | 466 pages

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||3 of 3 people found the following review helpful.| Useful Overview of Algorithms, But Needs a More Systemic Framework|By Dick_Burkhart|This is a useful compendium of a variety of methods of clustering, for a variety of data types, with numerous measures of similarity, and many examples of algorithms. The ultimate emphasis is on the algorithms, even the implementation in MATLAB or C++.

However this book is short on us|About the Author|Guojun Gan is a Ph.D. candidate in the Department of Mathematics and Statistics at York University, Ontario, Canada. His research interests include data mining and data clustering, and he is the coauthor of algorithms for clustering categorical

Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithms in groups according to some specific baseline methodologies such as hierarchical, center-based, and search-based methods. As a result, readers and users can easily identify ...

You easily download any file type for your gadget.Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)   |  Guojun Gan, Chaoqun Ma, Jianhong Wu. I was recommended this book by a dear friend of mine.

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