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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-031.mrc:58436517:5212
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-031.mrc:58436517:5212?format=raw

LEADER: 05212cam a2200769 a 4500
001 15074667
005 20220817091335.0
006 m o d
007 cr cnu---unuuu
008 090107s2009 flua ob 001 0 eng d
035 $a(OCoLC)ocn297227541
035 $a(NNC)15074667
040 $aN$T$beng$epn$cN$T$dOCLCQ$dOSU$dIDEBK$dOCLCQ$dMHW$dOCLCQ$dTULIB$dEBLCP$dOCLCO$dOCLCQ$dYDXCP$dDEBSZ$dOCLCQ$dOCLCO$dOCLCF$dWAU$dCDX$dOHS$dOCLCO$dOCLCQ$dOCLCO$dOCLCQ$dOCLCO$dMERUC$dNJR$dOCLCQ$dUUM$dOCLCQ$dNLE$dOCLCQ$dUKMGB$dWYU$dOCLCO$dOCLCA$dYDX$dOCLCQ$dK6U$dOCLCO$dOCLCQ
015 $aGBA873641$2bnb
015 $aGBB7L4429$2bnb
016 7 $a014633683$2Uk
016 7 $a018587169$2Uk
019 $a276452528$a294903210$a779915379$a1065673887
020 $a9781584889977$q(electronic bk.)
020 $a1584889977$q(electronic bk.)
020 $a9781584889960$q(hardback ;$qalk. paper)
020 $a1584889969$q(hardback ;$qalk. paper)
024 8 $a9786611863418
035 $a(OCoLC)297227541$z(OCoLC)276452528$z(OCoLC)294903210$z(OCoLC)779915379$z(OCoLC)1065673887
037 $a186341$bMIL
050 4 $aQA278$b.C63 2009eb
060 4 $aQA 278
072 7 $aMAT$x029000$2bisacsh
082 04 $a519.5/3$222
049 $aZCUA
245 00 $aConstrained clustering :$badvances in algorithms, theory, and applications /$cedited by Sugato Basu, Ian Davidson, Kiri L. Wagstaff.
260 $aBoca Raton :$bCRC Press,$c©2009.
300 $a1 online resource (441 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman & Hall/CRC data mining and knowledge discovery series
504 $aIncludes bibliographical references and index.
520 $aCovers the capabilities and limitations of constrained clustering. This title presents various types of constraints for clustering, describes useful variations of the standard problem of clustering under constraints, and applies clustering with constraints to relational, bibliographic, and video data.
588 0 $aPrint version record.
505 0 $aIntroduction ; Sugato Basu, Ian Davidson, and Kiri L. Wagstaff ; Semisupervised Clustering with User Feedback ; David Cohn, Rich Caruana, and Andrew Kachites McCallum ; Gaussian Mixture Models with Equivalence Constraints ; Noam Shental, Aharon Bar-Hillel, Tomer Hertz, and Daphna Weinshall ; Pairwise Constraints as Priors in Probabilistic Clustering ; Zhengdong Lu and Todd K. Leen ; Clustering with Constraints: A Mean-Field Approximation Perspective ; Tilman Lange, Martin H. Law, Anil K. Jain, and J.M. Buhmann ; Constraint-Driven Co-Clustering of 0/1 Data ; Ruggero G. Pensa, Céline Robardet, and Jean-François Boulicaut ; On Supervised Clustering for Creating Categorization Segmentations ; Charu Aggarwal, Stephen C.
505 0 $aGates, and Philip Yu ; Clustering with Balancing Constraints ; Arindam Banerjee and Joydeep Ghosh ; Using Assignment Constraints to Avoid Empty Clusters in k-Means Clustering ; A. Demiriz, K.P. Bennett, and P.S. Bradley ; Collective Relational Clustering ; Indrajit Bhattacharya and Lise Getoor ; Nonredundant Data Clustering ; David Gondek ; Joint Cluster Analysis of Attribute Data and Relationship Data ; Martin Ester, Rong Ge, Byron J.
505 0 $aGao, Zengjian Hu, and Boaz Ben-moshe ; Correlation Clustering ; Nicole Immorlica and Anthony Wirth ; Interactive Visual Clustering for Relational Data ; Marie desJardins, James MacGlashan, and Julia Ferraioli ; Distance Metric Learning from Cannot-Be-Linked Example Pairs with Application to Name Disambiguation ; Satoshi Oyama and Katsumi Tanaka ; Privacy-Preserving Data Publishing: A Constraint-Based Clustering Approach ; Anthony K.H. Tung, Jiawei Han, Laks V.S. Lakshmanan, and Raymond T. Ng ; Learning with Pairwise Constraints for Video Object Classification ; Rong Yan, Jian Zhang, Jie Yang, and Alexander G. Hauptmann ; References ; Index.
650 0 $aCluster analysis$xData processing.
650 0 $aData mining.
650 0 $aComputer algorithms.
650 2 $aCluster Analysis
650 2 $aElectronic Data Processing
650 2 $aData Mining
650 2 $aAlgorithms
650 6 $aClassification automatique (Statistique)$xInformatique.
650 6 $aExploration de données (Informatique)
650 6 $aAlgorithmes.
650 6 $aInformatique.
650 7 $aalgorithms.$2aat
650 7 $aMATHEMATICS$xProbability & Statistics$xGeneral.$2bisacsh
650 7 $aCluster analysis$xData processing.$2fast$0(OCoLC)fst00864978
650 7 $aComputer algorithms.$2fast$0(OCoLC)fst00872010
650 7 $aData mining.$2fast$0(OCoLC)fst00887946
655 4 $aElectronic books.
700 1 $aBasu, Sugato.
700 1 $aDavidson, Ian,$d1971-
700 1 $aWagstaff, Kiri Lou.
776 08 $iPrint version:$tConstrained clustering.$dBoca Raton : CRC Press, ©2009$z9781584889960$z1584889969$w(DLC) 2008014590$w(OCoLC)144226504
830 0 $aChapman & Hall/CRC data mining and knowledge discovery series.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15074667$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS