Abstract
We give a first comparison between the Principal Component Analysis PCA (“one of the oldest and best known techniques of multivariate analysis” cf. JOLLIFFE [6]) respectively of the analysis using biplots (GABRIEL [1], [2]) and an algebraic technique for the visualization of data, namely the Formal Concept Analysis FCA (WILLE [11]) by applying both methods to matrices, called Repertory Grids, which are the usual data form in many psychological investigations (SLATER [8]).
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© 1991 Springer-Verlag Berlin · Heidelberg
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Spangenberg, N., Wolff, K.E. (1991). Comparison of Biplot Analysis and Formal Concept Analysis in the case of a Repertory Grid. In: Bock, HH., Ihm, P. (eds) Classification, Data Analysis, and Knowledge Organization. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76307-6_15
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DOI: https://doi.org/10.1007/978-3-642-76307-6_15
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