Theory and Applications of Correspondence AnalysisAcademic Press, 1984 - 364 páginas Geometric concepts in multidimensional space; Simple illustrations of correspondence analysis; Theory of correspondence analysis and equivalent approaches; Multiple correspondence analysis; Correspondence analysis of ratings and preferences; Use of correspondence analysis in discriminant analysis, classification, regression and cluster analysis; Special topics; Applications of correspondence analysis. |
Contenido
CHAPTER | 11 |
Simple Illustrations of Correspondence Analysis | 35 |
54 | 80 |
Derechos de autor | |
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Términos y frases comunes
approximation axis barycentre basis vectors Benzécri Burt matrix Cahiers de l'Analyse canonical correlation analysis centering centroid chi-square cloud of points clustering coding column points column profiles computed contingency table correspondence analysis data matrix decomposition defined denote diagonal diagonal matrix dimensionality discrete variable eigenvalues eigenvectors elements equivalent example geometry in(J indicator matrix interpretation inverses J₁ J₂ l'Analyse des Données linear masses non-response obtained optimal origin orthogonal orthonormal percentages of inertia plane point vectors positions principal axes principal co-ordinates principal components analysis principal inertias question reciprocal averaging recoded regression represented rescaling respectively reweighting row and column row points row profiles row scores sample scalar product scale values Section set of points singular value decomposition singular values singular vectors solution squared distance standard co-ordinates statistical subspace sum of squared symmetric total inertia transition formulae variance weighted Euclidean space Z₁ Z₂ zero