Data clustering : algorithms and applications /

"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...

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Bibliographic Details
Group Author: Aggarwal, Charu C.; Reddy, Chandan K., 1980-
Published: Chapman and Hall/CRC,
Publisher Address: Boca Raton :
Publication Dates: [2014]
Literature type: Book
Language: English
Series: Chapman & Hall/CRC data mining and knowledge discovery series
Subjects:
Summary: "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"--
Carrier Form: xxvi, 622 pages, 4 pages of plates : illustrations ; 26 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9781466558212 (hardback) :
1466558210 (hardback)
Index Number: QA278
CLC: O212.4
Call Number: O212.4/D232-1
Contents: An introduction to cluster analysis /
Feature selection for clustering: a review /
Probabilistic models for clustering /
A survey of partitional and hierarchical clustering algorithms /
Density- Based Clustering /
Grid-based clustering /
Nonnegative matrix factorizations for clustering: a survey /
Spectral clustering /
Clustering high-dimensional data /
A survey of stream clustering algorithms /