| Record ID | marc_columbia/Columbia-extract-20221130-031.mrc:144470562:4336 |
| Source | marc_columbia |
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LEADER: 04336cam a2200661 a 4500
001 15098388
005 20221112231741.0
006 m o d
007 cr cnu---unuuu
008 140329s2014 flu ob 001 0 eng d
035 $a(OCoLC)ocn875095865
035 $a(NNC)15098388
040 $aEBLCP$beng$epn$cEBLCP$dN$T$dE7B$dYBM$dYDXCP$dOHS$dCDX$dCRCPR$dOCLCQ$dOCLCO$dVRC$dOCLCF$dDEBSZ$dTPH$dOCLCQ$dS4S$dMERUC$dYUS$dOCLCO$dMERER$dOCLCO$dOCLCQ$dOCLCA$dOCLCQ$dUKMGB$dWYU$dYDX$dU3W$dOCLCQ$dTYFRS$dOCLCQ$dK6U$dOCLCO$dOCLCA$dOCLCO$dOCLCQ
015 $aGBB7A1304$2bnb
016 7 $a018373100$2Uk
019 $a883166534$a981898900
020 $a9781466589803$q(electronic bk.)
020 $a1466589809$q(electronic bk.)
020 $z9781466589810
020 $z1466589817
035 $a(OCoLC)875095865$z(OCoLC)883166534$z(OCoLC)981898900
037 $aTANDF_305577$bIngram Content Group
050 4 $aQA76.9.I52$bV57 2014
060 4 $aQA 76.9.I52
072 7 $aREF$x018000$2bisacsh
082 04 $a001.4/226$223
084 $aMAT029000$2bisacsh
049 $aZCUA
245 00 $aVisualization and verbalization of data /$c[edited by] Jorg Blasius, Michael Greenacre.
264 1 $aBoca Raton :$bCRC Press, Taylor and Francis,$c2014.
300 $a1 online resource (382 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman & Hall/CRC Computer Science & Data Analysis
588 0 $aPrint version record.
505 0 $aFront Cover; Contents; Foreword; Preface; Editors; Contributors; Prologue: Let the Data Speak!; Chapter 1: Some Prehistory of CARME: Visual Language and Visual Thinking; Chapter 2: Some History of Algebraic Canonical Forms and Data Analysis; Chapter 3: Historical Elements of Correspondence Analysis and Multiple Correspondence Analysis; Chapter 4: History of Nonlinear Principal Component Analysis; Chapter 5: History of Canonical Correspondence Analysis; Chapter 6: History of Multiway Component Analysis and Three-Way Correspondence Analysis.
505 8 $aChapter 7: Past, Present, and Future of Multidimensional Scaling; Chapter 8: History of Cluster Analysis; Chapter 9: Simple Correspondence Analysis; Chapter 10: Distributional Equivalence and Linguistics; Chapter 11: Multiple Correspondence Analysis; Chapter 12: Structured Data Analysis; Chapter 13: Empirical Construction of Bourdieu's Social Space; Chapter 14: Multiple Factor Analysis:General Presentation and Comparison with STATIS; Chapter 15: Data Doubling and Fuzzy Coding; Chapter 16: Symbolic Data Analysis: A Factorial Approach Based on Fuzzy Coded Data.
505 8 $aChapter 17: Group Average Linkage Compared to Ward's Method in Hierarchical ClusteringChapter 18: Analysing a Pair of Tables: Coinertia Analysis and Duality Diagrams; References; Back Cover.
520 $aVisualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their current applications.
504 $aIncludes bibliographical references (pages 301-337) and index.
650 0 $aInformation visualization.
650 0 $aCorrespondence analysis (Statistics)
650 0 $aMultiple comparisons (Statistics)
650 12 $aData Interpretation, Statistical
650 6 $aVisualisation de l'information.
650 6 $aAnalyse des correspondances (Statistique)
650 6 $aCorrélation multiple (Statistique)
650 7 $aREFERENCE$xQuestions & Answers.$2bisacsh
650 7 $aCorrespondence analysis (Statistics)$2fast$0(OCoLC)fst00880319
650 7 $aInformation visualization.$2fast$0(OCoLC)fst00973185
650 7 $aMultiple comparisons (Statistics)$2fast$0(OCoLC)fst01028972
700 1 $aBlasius, Jörg,$d1957-$eeditor.
700 1 $aGreenacre, Michael J.,$eeditor.
776 08 $iPrint version:$aBlasius, Jorg.$tVisualization and Verbalization of Data.$dHoboken : Taylor and Francis, 2014$z9781466589810
830 0 $aSeries in computer science and data analysis.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15098388$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS