000			01780nam a22003377a 4500
999			_c11888 _d11888
001			17718102
003			OSt
005			20231010025041.0
008			130430t20142014flua 000 0 eng
010			_a 2013008698
020			_a9781466558212 (hardback)
040			_beng _aUnimy
050	0	0	_aQA278 _b.D294 2014
245	1	0	_aData clustering : _balgorithms and applications / _c[edited by] Charu C. Aggarwal, Chandan K. Reddy.
264		1	_aBoca Raton : _bChapman and Hall/CRC, _c[2014]
300			_axxv1, 622 pages : _billustrations ; _c26 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
490	0		_aChapman & Hall/CRC data mining and knowledge discovery series
504			_aIncludes bibliographical references (pages 602-605) and index.
520			_a"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"-- _cProvided by publisher.
650		0	_aDocument clustering.
650		0	_aCluster analysis.
650		0	_aData mining.
650		0	_aMachine theory.
650		0	_aFile organization (Computer science)
700	1		_aAggarwal, Charu C., _eeditor of compilation.
700	1		_aReddy, Chandan K., _eeditor of compilation.
942			_2lcc _cBK