Latent Variable Models for Blind Source Separation
Correspondence analysis is an exploratory multivariate technique for simultaneously displaying scores representing the row categories and column categories of a two-way contingency table as the coordinates of points in a low-dimensional (two- or possibly three-dimensional) vector space. The objective is to clarify the relationship between the row and column variates of the table and to discover a low-dimensional explanation for possible deviations from independence of those variates. The methodology has its own nomenclature, and its approach is decidedly geometric, especially for interpreting the resulting graphical displays.
KeywordsIndependent Component Analysis Independent Component Analysis Blind Source Separation Latent Variable Model Projection Pursuit
Unable to display preview. Download preview PDF.