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Data clustering : = algorithms and a...
~
Reddy, Chandan K., (1980-)
Data clustering : = algorithms and applications /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Data clustering :/ edited by Charu C. Aggarwal, Chandan K. Reddy.
Reminder of title:
algorithms and applications /
other author:
Aggarwal, Charu C.,
Published:
Boca Raton :Chapman and Hall/CRC, : c2014.,
Description:
xxv1, 622 p. :ill. ; : 26 cm.;
Subject:
Cluster analysis. -
ISBN:
9781466558212 (cloth) :
Data clustering : = algorithms and applications /
Data clustering :
algorithms and applications /edited by Charu C. Aggarwal, Chandan K. Reddy. - Boca Raton :Chapman and Hall/CRC,c2014. - xxv1, 622 p. :ill. ;26 cm. - Chapman & Hall/CRC data mining and knowledge discovery series.
Includes bibliographical references and index.
"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods such as probabilistic, density-based, grid-based, and spectral clustering etc; different problem domains and scenarios such as multimedia, text, biological, categorical, network, and uncertain data as well as data streams; and different detailed insights from the clustering process because of the subjectivity of the clustering process, and the many different ways in which the same data set can be clustered"--
ISBN: 9781466558212 (cloth) :NT3196
LCCN: 2013008698Subjects--Topical Terms:
562949
Cluster analysis.
LC Class. No.: QA278 / .D294 2014
Dewey Class. No.: 519.5/35
Data clustering : = algorithms and applications /
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algorithms and applications /
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edited by Charu C. Aggarwal, Chandan K. Reddy.
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c2014.
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Chapman and Hall/CRC,
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xxv1, 622 p. :
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ill. ;
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26 cm.
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Chapman & Hall/CRC data mining and knowledge discovery series
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Includes bibliographical references and index.
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"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods such as probabilistic, density-based, grid-based, and spectral clustering etc; different problem domains and scenarios such as multimedia, text, biological, categorical, network, and uncertain data as well as data streams; and different detailed insights from the clustering process because of the subjectivity of the clustering process, and the many different ways in which the same data set can be clustered"--
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editor of compilation.
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Reddy, Chandan K.,
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1980-
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editor of compilation.
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981606
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