Comparison of Canonical and Generalized Canonical Correlation Analysis Using Some Continuous Distributions
Stephen O. Ihekuna, Kelechukwu C. N. Dozie, Ihekuna , Stephen O., Dozie , Kelechukwu C. N.
Asian Journal of Research in Computer Science · pp. 296–306 · Published 9 Sep 2023
10.9734/ajrcos/2023/v16i3364Abstract
This study is designed to compare canonical and generalized canonical correlation analysis for two data sets using five continuous distributions namely; Beta, Exponential, Gamma, Weibull and Normal distributions as control. Simulation studies for samples of sizes n = 10, 20, 30, 40, and 50 replicated 10,000 each were analyzed using R-programming language. Relative efficiencies of the two methods (CCA and GCCA) calculated for each of the distributions under consideration showed no significant differences in the two methods.
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