Data Clustering
by Charu C. Aggarwal, Chandan K. Reddy
Cluster analysisData miningMachine theoryFile organization (computer science)Document clustering
0.0
Open LibraryAbout this book
"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"--
Themes & subjects
Cluster analysisData miningMachine theoryFile organization (computer science)Document clusteringRegroupement des documents (Informatique)
About the author
Chandan K. Reddy
1980
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