Abstract
In the present communication dimension reduction criteria in Multivariate data with no external variables are studied by using Entropy Optimization Principles. Maximum entropy criterion is provided and its relation with other criteria for selection of principal variables in multivariate analysis is established. A comparative study of performance of principal variables with the corresponding number of principal components is made by considering empirical data set.
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