Data Clustering

"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"--

Year

2014

Language

English

Series

Chapman & Hall/CRC data mining and knowledge discovery series

Publisher

Chapman and Hall/CRC

Editions

8

Pages

622

ISBN

9781466558212

Data source: Wikidata