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Data clusteringalgorithms and applic...
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Aggarwal, Charu C.
Data clusteringalgorithms and applications /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Data clustering/ edited by Charu C. Aggarwal, Chandan K. Reddy.
其他題名:
algorithms and applications /
其他作者:
Reddy, Chandan K.,
出版者:
Boca Raton :CRC Press, Taylor & Francis Group, : c2014.,
版本:
1st ed.
面頁冊數:
1 online resource :ill. :
提要註:
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.
標題:
File organization (Computer science) -
電子資源:
https://www.taylorfrancis.com/books/9781466558229
ISBN:
9781466558229
Data clusteringalgorithms and applications /
Data clustering
algorithms 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:
435391
File organization (Computer science)
LC Class. No.: QA278 / .D294 2014
Dewey Class. No.: 519.535
Data clusteringalgorithms and applications /
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https://www.taylorfrancis.com/books/9781466558229
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