Effects of the transformation between continuous and discrete variables in multivariate analysi

Abstract

It is useful to transform continuous data to descrete one for condensing data amaount if information loss is small. In multivariate analysis like PCA correlation between variables plays an important roll. Therefore the transformation continuous to discrete must be one that keeps relationship between variables. In this paper effects of the transformation from continuous to discrete varables and reciprocal transfromation in multivariate analysis will be discussed. PCA and Hayashi's quantification method will be shown and compared by data before and after transformation.