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
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 /
Cluster