Interactive graphical isolation of homogeneous data subgroups.

Abstract

A method is described for compacting homogeneous and separating heterogeneous data subcomponents. Allowance is made for heterogeneity due to a concomitant variable. When used with a large sample size, the major component of bivariate normal data will tend to be compacted to a single point. By applying the algorithm twice, the major component of bivariate lognormal data will tend to be compacted to a single point. These procedures have been implemented as part of an interactive graphical system for convenient use by biomedical researchers.