Data clustering :  algorithms and applications / 
edited by Charu C.  Aggarwal, Chandan K. Reddy 
 - Boca Raton, Fla. :  CRC Press,  2020 
 - xxvi, 622 p. :  ill., charts ;  24 cm. 
 - Chapman and Hall/CRC data mining and knowledge discovery series .
<br/><br/> Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as fea 
<br/><br/>Includes bibliographical references and indexes 
<br/><br/><label>ISBN: </label>9780367830274 :  £ 1950.00 (21 vol. set) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Document clustering<br/>Cluster analysis<br/>Data mining<br/>Machine theory<br/>File organization theory (Computer science)
<br/><br/><label>Dewey Class. No.: </label>R.R. 509.535  / D 262