Data clustering
algorithms and applications
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Publication
2014 - Chapman and Hall/CRC, Boca Raton, Florida
Language
English
Word Count
155,500 words, Guess
Page Count
622 pages
Identifiers
- Open LibraryOL31131931M
- ISBN-139781466558212
- OCLC Control Number861794460
- Library of Congress Control Number2013008698
Classifications
- DDC519.5/35
- LCCQA278 .D294 2014
Description
"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"--
Subjects
Topics
Series Statement
- Chapman & Hall/CRC data mining and knowledge discovery series
Other Editions
- Data clustering: algorithms and applications
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