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Research Article Open access CC BY 4.0

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/v16i3364

Abstract

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.

Canonical correlation analysis generalized canonical correlation analysis relative efficiencies simulation experiment

References (6)

  1. 1 An Introduction to Multivariate Statistical Analysis [DOI]
  2. 2 Analysis of Individual Differences in Multidimensional Scaling Via an N-way Generalization of “Eckart-Young” Decomposition [DOI]
  3. 3 Simplified Calculation of Principal Components [DOI]
  4. 4 An Introduction to Multivariate Statistical Analysis. [DOI]
  5. 5 Generalized Canonical Correlation Analysis of Matrices with Missing Rows: a Simulation Study [DOI]
  6. 6 Generalized Constrained Canonical Correlation Analysis [DOI]

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