Simple Non Symmetrical Correspondence Analysis

Simple Component Analysis (SCA) was introduced by Rousson and Gasser (2004) as an alternative to Principal Component Analysis (PCA). The goal of SCA is to find the “optimal simple system” of components for a given data set, which may be slightly correlate

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Editorial Board

H.-H. Bock, Aachen W. Gaul, Karlsruhe M. Vichi, Rome

Ph. Arabie, Newark D. Baier, Cottbus F. Critchley, Milton Keynes R. Decker, Bielefeld E. Diday, Paris M. Greenacre, Barcelona C. Lauro, Naples J. Meulman, Leiden P. Monari, Bologna S. Nishisato, Toronto N. Ohsumi, Tokyo O. Opitz, Augsburg G. Ritter, Passau M. Schader, Mannheim C. Weihs, Dortmund

Titles in the Series: E. Diday, Y. Lechevallier, and O. Opitz (Eds.) Ordinal and Symbolic Data Analysis. 1996

M. Schwaiger and O. Opitz (Eds.) Exploratory Data Analysis in Empirical Research. 2003

R. Klar and O. Opitz (Eds.) Classification and Knowledge Organization. 1997

M. Schader, W. Gaul, and M. Vichi (Eds.) Between Data Science and Applied Data Analysis. 2003

C. Hayashi, N. Ohsumi, K. Yajima, Y. Tanaka, H.-H. Bock, and Y. Baba (Eds.) Data Science, Classifaction, and Related Methods. 1998

H.-H. Bock, M. Chiodi, and A. Mineo (Eds.) Advances in Multivariate Data Analysis. 2004

I. Balderjahn, R. Mather, and M. Schader (Eds.) Classification, Data Analysis, and Data Highways. 1998

D. Banks, L. House, F.R. McMorris, P. Arabie, and W. Gaul (Eds.) Classification, Clustering, and Data Minig Applications. 2004

A. Rizzi, M. Vichi, and H.-H. Bock (Eds.) Advances in Data Science and Classification. 1998

D. Baier and K.-D. Wernecke (Eds.) Innovations in Classification, Data Science, and Information Systems. 2005

M. Vichi and O. Optiz (Eds.) Classification and Data Analysis. 1999

M. Vichi, P. Monari, S. Mignani, and A. Montanari (Eds.) New Developments in Classification and Data Analysis. 2005

W. Gaul and H. Locarek-Junge (Eds.) Classification in the Information Age. 1999 H.-H. Bock and E. Diday (Eds.) Analysis of Symbolic Data. 2000 H. A. L. Kiers, J.-P. Rasson, P.J.F. Groenen, and M. Schader (Eds.) Data Analysis, Classification, and Related Methods. 2000 W. Gaul, O. Opitz, M. Schader (Eds.) Data Analysis. 2000 R. Decker and W. Gaul (Eds.) Classification and Information Processing at the Turn of the Millenium. 2000 S. Borra, R. Rocci, M. Vichi, and M. Schader (Eds.) Advances in Classification and Data Analysis. 2000 W. Gaul and G. Ritter (Eds.) Classification, Automation, and New Media. 2002 K. Jajuga, A. Sokolowski, and H.-H. Bock (Eds.) Classification, Clustering and Data Analysis. 2002

D. Baier, R. Decker, and L. Schmidt-Thieme (Eds.) Data Analysis and Decision Support. 2005 C. Weihs and W. Gaul (Eds.) Classification - the Ubiquitous Challenge. 2005 M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nürnberger, and W. Gaul (Eds.) From Data and Information Analysis to Knowledge Engineering. 2006 V. Batagelj, H.-H. Bock, A. Ferligoj, and A. Žiberna (Eds.) Data Science and Classification. 2006 S. Zani, A. Cerioli, M. Riani, M. Vichi (Eds.) Data Analysis, Classification and the Forward Search. 2006 P. Brito, P. Bertrand, G. Cucumel, F. de Carvalho (Eds.) Selected Contributions in Data Analysis and Classification. 2007 R. Decker, H.-J. Lenz (Eds.) Advances in Data Analysis. 2007 C. Preisach, H. Burkhardt, L. Schmidt-Thieme, R. Decker (Eds.) Data Analysis, Machin