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"This 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 developmentof 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"--
Table des matières
History of Correspondence Analysis and Related Methods: Some Prehistory of CARME: Visual Language and Visual Thinking. Some History of Algebraic Canonical Forms and Data Analysis. Historical Elements of Correspondence Analysis and Multiple Correspondence Analysis. History of Nonlinear Principal Component Analysis. History of Canonical Correspondence Analysis. History of Multiway Component Analysis and Three-Way Correspondence Analysis. Past, Present, and Future of Multidimensional Scaling. History of Cluster Analysis. The Contribution of Benzécri and the French School: Simple Correspondence Analysis. Distributional Equivalence and Linguistics. Multiple Correspondence Analysis. Structured Data Analysis. Empirical Construction of Bourdieu’s Social Space. Multiple Factor Analysis: General Presentation and Comparison with Statis. Data Doubling and Fuzzy Coding. Symbolic Data Analysis: A Factorial Approach Based on Fuzzy Coded Data. Group Average Linkage Compared to Ward’s Method in Hierarchical Clustering. Analyzing a Pair of Tables: Co-Inertia Analysis and Duality Diagrams. References.
A propos de l'auteur
Jorg Blasius, Michael Greenacre
