03898oam 2200637I 450 991079095550332120200812213934.00-429-16798-91-4665-8981-710.1201/b16741 (CKB)2550000001254756(EBL)1414098(SSID)ssj0001133154(PQKBManifestationID)11639791(PQKBTitleCode)TC0001133154(PQKBWorkID)11157227(PQKB)11223342(OCoLC)875095865(MiAaPQ)EBC1414098(EXLCZ)99255000000125475620180331h20142014 uy 0engur|n|||||||||txtrdacontentcrdamediacrrdacarrierVisualization and verbalization of data /edited by Jorg Blasius, University of Bonn, Germany, Michael Greenacre, Universitat Pompeu Fabra, Barcelona, SpainBoca Raton :CRC Press,[2014]©20141 online resource (382 p.)Chapman and Hall/CRC Computer Science and Data AnalysisDescription based upon print version of record.1-4665-8980-9 1-306-56796-3 Includes bibliographical references.Front 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 AnalysisChapter 7: Past, Present, and Future of Multidimensional ScalingChapter 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 DataChapter 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 CoverThis volume presents an overview of the state of the art in data visualization, encompassing correspondence analysis, nonlinear principal component analysis, cluster analysis, multidimensional scaling, and much more. It covers the historical development of each topic along with modern techniques and future research directions. To illustrate the methods, the book incorporates many real data examples and software implementations. Each chapter is written by leading researchers in the field and thoroughly edited to ensure coherence and consistency--Provided by publisher.Series in computer science and data analysis.Information visualizationCorrespondence analysis (Statistics)Multiple comparisons (Statistics)Information visualization.Correspondence analysis (Statistics)Multiple comparisons (Statistics)001.4/226MAT029000bisacshBlasius Jorg1957-Greenacre Michael J.FlBoTFGFlBoTFGBOOK9910790955503321Visualization and verbalization of data1498352UNINA