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010 a| 2013008698;

020 a| 9781466558212 (hardback);

035 a| (WaSeSS)ssj0000876684;

042 a| pcc;

049 a| EREEa| NEHH;

050 00 a| QA278b| .D294 2014;

082 00 a| 519.5/352| 23;

084 a| BUS061000a| COM021030a| COM0370002| bisacsh;

245 00 a| Data clusteringh| [electronic resource] :b| algorithms and applications /c| [edited by] Charu C. Aggarwal, Chandan K. Reddy.;

260 a| Boca Raton :b| Chapman and Hall/CRC,c| [2014];

300 a| xxv1, 622 pages :b| illustrations ;c| 26 cm.;

490 0 a| Chapman & Hall/CRC data mining and knowledge discovery series;

504 a| Includes bibliographical references (pages 602-605) and index.;

506 a| Available only to authorized users.;

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"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Document clustering.?| UNAUTHORIZED;

650 0 a| Cluster analysis.=| ^A23210;

650 0 a| Data mining.=| ^A408868;

650 0 a| Machine theory.=| ^A16040;

650 0 a| File organization (Computer science)=| ^A86121;

650 7 a| BUSINESS & ECONOMICS / Statistics.2| bisacsh;

650 7 a| COMPUTERS / Database Management / Data Mining.2| bisacsh;

650 7 a| COMPUTERS / Machine Theory.2| bisacsh;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Aggarwal, Charu C.=| ^A1153676;

700 1 a| Reddy, Chandan K.,d| 1980-?| UNAUTHORIZED;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=1355921;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5190323-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 10/31/2019x| EBOOKz| JERESOURCE;

Data clustering algorithms and applications / [edited by] Charu C. Aggarwal, Chandan K. Reddy.

Other author	Aggarwal, Charu C.
Other author	Reddy, Chandan K., 1980-
Format	Electronic
Publication Info	Boca Raton : Chapman and Hall/CRC, [2014]
Description	xxv1, 622 pages : illustrations ; 26 cm.
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Document clustering. Cluster analysis. Data mining. Machine theory. File organization (Computer science)

Series	Chapman & Hall/CRC data mining and knowledge discovery series
Abstract	"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.
Bibliography note	Includes bibliographical references (pages 602-605) and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2013008698
ISBN	9781466558212 (hardback)

Data clustering algorithms and applications / [edited by] Charu C. Aggarwal, Chandan K. Reddy.

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