Abstract

Preface Scatterplots and Maps Profiles and the Profile Space Masses and Centroids Chi-Square Distance and Inertia Plotting Chi-Square Distances Reduction of Dimensionality Optimal Scaling Symmetry of Row and Column Analyses Two-Dimensional Maps Three More Examples Contributions to Inertia Supplementary Points Correspondence Analysis Biplots Transition and Regression Relationships Clustering Rows and Columns Multiway Tables Stacked Tables Multiple Correspondence Analysis Joint Correspondence Analysis Scaling Properties of MCA Subset Correspondence Analysis Analysis of Square Tables Data Recoding Canonical Correspondence Analysis Aspects of Stability and Inference Appendix A: Theory of Correspondence Analysis Appendix B: Computation of Correspondence Analysis Appendix C: Bibliography of Correspondence Analysis Appendix D: Glossary of Terms Appendix E: Epilogue Index

Keywords

Correspondence analysisMultiple correspondence analysisMathematicsBiplotMultidimensional scalingContingency tableCanonical analysisRowRow and column spacesScalingCentroidDimensionality reductionPrincipal component analysisCluster analysisStatisticsArtificial intelligenceComputer scienceGeometry

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Year
2007
Type
book
Citations
2024
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Michael Greenacre (2007). Correspondence Analysis in Practice. . https://doi.org/10.1201/9781420011234

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DOI
10.1201/9781420011234