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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Group Author: | ; |
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Published: |
Chapman and Hall/CRC,
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Publisher Address: | Boca Raton : |
Publication Dates: | [2014] |
Literature type: | Book |
Language: | English |
Series: |
Chapman & Hall/CRC data mining and knowledge discovery series
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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 / |