Articoli correlati a Data Clustering: Theory, Algorithms, and Applications
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, centre-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. 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. Suitable as a textbook for an introductory course in cluster analysis or as source material for a graduate-level introduction to data mining.
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Descrizione del libro:
This book enables readers and users to easily identify an appropriate algorithm for their applications and compare novel ideas with existing results. Application areas include pattern recognition, artificial intelligence, information technology, image processing, biology, psychology, and marketing. A valuable tool and reference for applied statisticians; engineers, scientists and applied mathematicians.
L'autore:
Guojun Gan is a Ph.D. candidate in the Department of Mathematics and Statistics at York University, Ontario, Canada.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreSociety for Industrial and Applied Mathematics
- Data di pubblicazione2007
- ISBN 10 0898716233
- ISBN 13 9780898716238
- RilegaturaCopertina flessibile
- Numero di pagine184
- Valutazione libreria
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Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability, Series Number 20)
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Society for Industrial and Appli
(2007)
ISBN 10: 0898716233
ISBN 13: 9780898716238
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Descrizione libro paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!. Codice articolo S_345698009
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Data clustering : Theory algorithms and applications - Guojun Gan
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Descrizione libro Condizione: Used: Good. Occasion - Bon Etat - Data clustering : Theory algorithms and applications (2007) - Grand Format. Codice articolo 3242688
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Data Clustering: Theory, Algorithms, and Applications
ISBN 10: 0898716233
ISBN 13: 9780898716238
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Descrizione libro Trade paperback. Condizione: Good. Trade paperback (US). 466 p. Contains: Illustrations. ASA-SIAM Series on Statistics and Applied Probability, 20. Audience: General/trade. Codice articolo Alibris.0013019
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Data Clustering:Theory. Algor And Applica Pb
Editore:
CAMBRIDGE
(2007)
ISBN 10: 0898716233
ISBN 13: 9780898716238
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Descrizione libro Condizione: Muy Bueno / Very Good. Codice articolo 100000000083305
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