Data clustering : theory, algorithms, and applications /
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| Author / Creator: | Gan, Guojun, 1979- |
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| Imprint: | Philadelphia, Pa. : SIAM, Society for Industrial and Applied Mathematics ; Alexandria, Va. : American Statistical Association, c2007. |
| Description: | xxii, 466 p. : ill. ; 26 cm. |
| Language: | English |
| Series: | ASA-SIAM series on statistics and applied probability ; 20 ASA-SIAM series on statistics and applied probability. |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/6378468 |
| Summary: | 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 an appropriate algorithm for their applications and compare novel ideas with existing results.<br> <br> The book also provides examples of clustering applications to illustrate the advantages and shortcomings of different clustering architectures and algorithms. Application areas include pattern recognition, artificial intelligence, information technology, image processing, biology, psychology, and marketing. Readers also learn how to perform cluster analysis with the C/C++ and MATLAB#65533; programming languages. |
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| Physical Description: | xxii, 466 p. : ill. ; 26 cm. |
| Bibliography: | Includes bibliographical references (p. 397-441) and indexes. |
| ISBN: | 9780898716238 0898716233 |
