Discriminant analysis algorithm to classify Hickson’s compact groups of galaxies
Abdel-Rahman, H., Mohammed, S. (2019). Discriminant analysis algorithm to classify Hickson’s compact groups of galaxies. EKB Journal Management System, 8(1), 180-184. doi: 10.1080/20909977.2019.1660105
H. I. Abdel-Rahman; Sabry A. Mohammed. "Discriminant analysis algorithm to classify Hickson’s compact groups of galaxies". EKB Journal Management System, 8, 1, 2019, 180-184. doi: 10.1080/20909977.2019.1660105
Abdel-Rahman, H., Mohammed, S. (2019). 'Discriminant analysis algorithm to classify Hickson’s compact groups of galaxies', EKB Journal Management System, 8(1), pp. 180-184. doi: 10.1080/20909977.2019.1660105
Abdel-Rahman, H., Mohammed, S. Discriminant analysis algorithm to classify Hickson’s compact groups of galaxies. EKB Journal Management System, 2019; 8(1): 180-184. doi: 10.1080/20909977.2019.1660105

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

NRIAG Journal of Astronomy and Geophysics
Volume 8, Issue 1, January 2019, Pages 180-184    PDF (539.01 K)
DOI: 10.1080/20909977.2019.1660105
Authors
H. I. Abdel-Rahman; Sabry A. Mohammed
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.
Keywords
Statistics; Discrimination analysis; galaxy; Hickson’s compact groups
Statistics
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