Anmerkungen:
Editors: Charu C. Aggarwal (Research scientist at IBM T. J. Watson Research Center, Yorktown Heights, NY, USA); Chandan K. Reddy (Assistant Professor in the Department of Computer Science at Wayne State University, Detroit, MI)
Beschreibung:
"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"--