Discriminant analysis algorithm to classify Hickson’s compact groups of galaxies

Abstract

In the present paper, we introduce an algorithm to classify Hickson's compact groups of galaxies. The algorithm uses the discrimination analysis technique to determine the best set of indicators that can be used to construct the models in which the classification validity of the Hickson's compact groups could be predicted, and thus distinguish between groups that have classification problems. We have concluded that the earlier classifications of the 92 Hickson's compact groups of galaxies are correct.