MARC Record from Library of Congress

LEADER: 02065cam a2200397 i 4500
001 2013008698
003 DLC
005 20141204081003.0
008 130430t20142014flua 000 0 eng
010 $a 2013008698
020 $a9781466558212 (hardback)
040 $aDLC$beng$cDLC$dDLC$erda
042 $apcc
050 00 $aQA278$b.D294 2014
082 00 $a519.5/35$223
084 $aBUS061000$aCOM021030$aCOM037000$2bisacsh
245 00 $aData clustering :$balgorithms and applications /$c[edited by] Charu C. Aggarwal, Chandan K. Reddy.
264 1 $aBoca Raton :$bChapman and Hall/CRC,$c[2014]
264 4 $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
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.
504 $aIncludes bibliographical references (pages 602-605) and index.
650 0 $aDocument clustering.
650 0 $aCluster analysis.
650 0 $aData mining.
650 0 $aMachine theory.
650 0 $aFile organization (Computer science)
650 7 $aBUSINESS & ECONOMICS / Statistics.$2bisacsh
650 7 $aCOMPUTERS / Database Management / Data Mining.$2bisacsh
650 7 $aCOMPUTERS / Machine Theory.$2bisacsh
700 1 $aAggarwal, Charu C.,$eeditor of compilation.
700 1 $aReddy, Chandan K.,$d1980-$eeditor of compilation.