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

Contributor(s): Aggarwal, Charu C [editor of compilation.] | Reddy, Chandan K [editor of compilation.]Material type: TextTextSeries: Chapman & Hall/CRC data mining and knowledge discovery seriesPublisher: Boca Raton : Chapman and Hall/CRC, [2014]Description: xxv1, 622 pages : illustrations ; 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781466558212 (hardback)Subject(s): Document clustering | Cluster analysis | Data mining | Machine theory | File organization (Computer science)LOC classification: QA278 | .D294 2014Summary: "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.
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