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Data clustering[electronic resource]...
~
Aggarwal, Charu C.
Data clustering[electronic resource] :algorithms and applications /
紀錄類型:
書目-電子資源 : Monograph/item
杜威分類號:
519.535
書名/作者:
Data clustering : algorithms and applications // edited by Charu C. Aggarwal, Chandan K. Reddy.
其他作者:
Aggarwal, Charu C.
出版者:
Boca Raton : : CRC Press, Taylor & Francis Group,, c2014.
面頁冊數:
1 online resource : : ill.
標題:
File organization (Computer science)
標題:
Document clustering.
標題:
Cluster analysis.
標題:
Data mining.
標題:
Machine theory.
ISBN:
9781466558229
書目註:
Includes bibliographical references and index.
摘要、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.
電子資源:
https://
www.taylorfrancis.com/books/9781466558229
Data clustering[electronic resource] :algorithms 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:
570580
File organization (Computer science)
LC Class. No.: QA278 / .D294 2014
Dewey Class. No.: 519.535
Data clustering[electronic resource] :algorithms and applications /
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https://www.taylorfrancis.com/books/9781466558229
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