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001 4249783
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008 000807s1984 caua obs 000 0 eng d
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020 $a0585180873$q(electronic bk.)
020 $a9780585180878$q(electronic bk.)
020 $a9781412983648$q(electronic bk.)
020 $a1412983649$q(electronic bk.)
020 $z0803923767$q(pbk.)
020 $z9780803923768$q(pbk.)
035 $a(OCoLC)44959886$z(OCoLC)563174219$z(OCoLC)649855120$z(OCoLC)961604063$z(OCoLC)962721543$z(OCoLC)970419972$z(OCoLC)988816127$z(OCoLC)999511739$z(OCoLC)1014405478$z(OCoLC)1014415614$z(OCoLC)1053010852$z(OCoLC)1055251812$z(OCoLC)1055260260$z(OCoLC)1055681189$z(OCoLC)1058109052$z(OCoLC)1059168971$z(OCoLC)1065547540$z(OCoLC)1066442105$z(OCoLC)1078067399$z(OCoLC)1091758376$z(OCoLC)1102530933$z(OCoLC)1103601848$z(OCoLC)1107372014$z(OCoLC)1117499860$z(OCoLC)1126189914
042 $adlr
050 4 $aHA29$b.A49 1984eb
070 0 $aHA29$b.A49 1984eb
072 7 $aMAT$x029020$2bisacsh
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084 $aMR 2100$2rvk
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049 $aZCUA
100 1 $aAldenderfer, Mark S.,$eauthor.
245 10 $aCluster analysis /$cMark S. Aldenderfer, Roger K. Blashfield.
260 $aBeverly Hills, Calif. :$bSage Publications,$c©1984.
300 $a1 online resource (88 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$2rda
380 $aStatistics
490 1 $aSage university papers series. Quantitative applications in the social sciences ;$vno. 07-044
504 $aIncludes bibliographical references (pages 84-87).
505 0 $a1. Introduction. How clustering methods are used -- Data sets to be used as examples -- A few cautions about cluster analysis -- 2. Similarity measures. Terminology -- The concept of similarity -- The choice of variables -- Similarity measures -- 3. A review of clustering methods. On the nature of clusters -- Hierarchical agglomerative methods -- Iterative partitioning methods -- Factor analysis variants -- Other methods -- Determining the number of clusters -- Comparing clustering methods -- 4. Validation techniques. Cophenetic correlation -- Significance tests on variables used to create clusters -- Replication -- Significance tests on external variables -- Monte Carlo procedures -- 5. Cluster analysis software and the literature on clustering -- Collections of subroutines and algorithms -- Statistical packages containing clustering software -- Cluster analysis packages -- Simple cluster analysis programs -- The literature on cluster analysis -- Guide to reporting cluster analysis studies -- Appendix. Example data sets (burial data) -- Notes -- References -- About the authors.
520 $aThis book is designed to be an introduction to cluster analysis for those with no background and for those who need an up-to-date and systematic guide through the maze of concepts, techniques, and algorithms associated with the clustering data. The authors begin by discussing measures of similarity, the input needed to perform any clustering analysis. They note varying theoretical meanings of the concept and discuss the set of empirical measures most commonly used to measure similarity. Various methods for actually identifying the clusters are then described. Finally, they discuss procedures for validating the adequacy of a cluster analysis. At all points, the differing concepts and techniques are compared and evaluated.
506 $3Use copy$fRestrictions unspecified$2star$5MiAaHDL
533 $aElectronic reproduction.$b[Place of publication not identified] :$cHathiTrust Digital Library,$d2010.$5MiAaHDL
538 $aMaster and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.$uhttp://purl.oclc.org/DLF/benchrepro0212$5MiAaHDL
583 1 $adigitized$c2010$hHathiTrust Digital Library$lcommitted to preserve$2pda$5MiAaHDL
588 0 $aPrint version record.
506 $aAccess restricted to Ryerson students, faculty and staff.$5CaOTR
546 $aEnglish.
650 0 $aSocial sciences$xStatistical methods.
650 0 $aCluster analysis.
650 2 $aCluster Analysis
650 2 $aSocial Sciences$xmethods
650 6 $aSciences sociales$xMéthodes statistiques.
650 6 $aClassification automatique (Statistique)
650 7 $aMATHEMATICS$xProbability & Statistics$xMultivariate Analysis.$2bisacsh
650 7 $aCluster analysis.$2fast$0(OCoLC)fst00864976
650 7 $aSocial sciences$xStatistical methods.$2fast$0(OCoLC)fst01122983
650 7 $aCluster-Analyse$2gnd
650 7 $aSoziologie$2gnd
650 17 $aClusteranalyse.$2gtt
650 7 $aSociologia (Pesquisa E Metodologia)$2larpcal
653 $aCluster analysis
655 0 $aElectronic books.
655 2 $aStatistics
655 4 $aElectronic books.
700 1 $aBlashfield, Roger K.,$d1944-$eauthor.
776 08 $iPrint version:$aAldenderfer, Mark S.$tCluster analysis.$dBeverly Hills, Calif. : Sage Publications, ©1984$z0803923767$w(DLC) 84051918$w(OCoLC)11615981
830 0 $aQuantitative applications in the social sciences ;$vno. 07-044.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio4249783$zAll EBSCO eBooks
852 8 $blweb$hEBOOKS