Data clustering
Subtitle: algorithms and applications
By: [edited by] Charu C. Aggarwal, Chandan K. Reddy
Series: Chapman & Hall/CRC data mining and knowledge discovery series
Publisher: Chapman and Hall/CRC
Published: 2014
Place of publication: Boca Raton
Language: eng
Number of pages: 622
ISBN-13: 9781466558212
Copyright date: 2014
Subjects: Document clustering; Cluster analysis; Data mining; Machine theory; File organization (Computer science); BUSINESS & ECONOMICS / Statistics; COMPUTERS / Database Management / Data Mining; COMPUTERS / Machine Theory
Description: "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"--
Notes: Includes bibliographical references (pages 602-605) and index.