Data clustering : algorithms and applications /
[edited by] Charu C. Aggarwal, Chandan K. Reddy.
- London : CRC Press, c2014.
- xxv1, 622 pages : illustrations ; 26 cm.
- Chapman & Hall/CRC data mining and knowledge discovery series .
Includes bibliographical references (pages 602-605) and index.
"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"--
9781466558212 (hardback)
2013008698
Document clustering.
Cluster analysis.
Data mining.
Machine theory.
File organization (Computer science)
BUSINESS & ECONOMICS / Statistics.
COMPUTERS / Database Management / Data Mining.
COMPUTERS / Machine Theory.
QA278 / .D294 2014
519.535 / D2322
Includes bibliographical references (pages 602-605) and index.
"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"--
9781466558212 (hardback)
2013008698
Document clustering.
Cluster analysis.
Data mining.
Machine theory.
File organization (Computer science)
BUSINESS & ECONOMICS / Statistics.
COMPUTERS / Database Management / Data Mining.
COMPUTERS / Machine Theory.
QA278 / .D294 2014
519.535 / D2322