Automatic off-line multivariate data analysis

Abstract

Many research problems in the social and physical sciences require the collection of large amounts of data of the simultaneously measured attributes of a phenomenon or process under investigation. Pattern recognition problems, in particular, yield data of multiple variables for each manifestation of the different sources of data. The automatic off-line multivariate analysis techniques described in this paper deal with the quantitative description of data of this type.