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Data clustering = algorithms and app...

Aggarwal, Charu C.

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Data clustering = algorithms and applications /

Record Type:	Electronic resources : 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 :CRC Press, Taylor & Francis Group, : c2014.,
Description:	1 online resource :ill.
Subject:	Document clustering. -
Online resource:	https://www.taylorfrancis.com/books/9781466558229
ISBN:	9781466558229

Data clustering = algorithms and applications /
Data clusteringalgorithms and applications /[electronic resource] :edited by Charu C. Aggarwal, Chandan K. Reddy. - 1st ed. - Boca Raton :CRC Press, Taylor & Francis Group,c2014. - 1 online resource :ill. - Chapman & Hall/CRC data mining and knowledge discovery series. - 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--Provided by publisher.

ISBN: 9781466558229Subjects--Topical Terms:

934961
Document clustering.

LC Class. No.: QA278 / .D294 2014

Dewey Class. No.: 519.535

Data clustering = algorithms and applications /
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020 $a 9781466558229 $q (electronic bk.)
020 $z 9781466558212 $q (hardback)
035 $a (OCoLC)859052589
035 $a 9781466558229
040 $a FlBoTFG $c FlBoTFG
050 4 $a QA278 $b .D294 2014
082 0 4 $a 519.535
245 0 0 $a Data clustering $h [electronic resource] : $b algorithms and applications / $c edited by Charu C. Aggarwal, Chandan K. Reddy.
250 $a 1st ed.
260 $a Boca Raton : $b CRC Press, Taylor & Francis Group, $c c2014.
300 $a 1 online resource : $b ill.
490 1 $a Chapman & Hall/CRC data mining and knowledge discovery series
504 $a Includes bibliographical references and index.
520 $a 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--Provided by publisher.
588 $a Description based on print version record.
650 0 $a Document clustering. $3 934961
650 0 $a Cluster analysis. $3 562995
650 0 $a Data mining. $3 562972
650 0 $a Machine theory. $3 523249
650 0 $a File organization (Computer science) $3 560051
700 1 $a Aggarwal, Charu C. $3 812147
700 1 $a Reddy, Chandan K., $d 1980- $3 3315128
830 0 $a Chapman & Hall/CRC data mining and knowledge discovery series. $3 1097255
856 4 0 $u https://www.taylorfrancis.com/books/9781466558229