A Dual Method of Carroll's Generalized Canonical Correlation Analysis

Rodnellin Onesime Malouata *

Departement of Licence, Higher Institute of Management, Congo.

Gelin Chedly Louzayadio

Departement of Licence, Faculty of Economics, Congo.

Michel Koukouatikissa Diafouka

Departement of Licence, Teachers' College, Congo.

Leonard Niere

Departement of Licence, Higher Institute of Management, Congo.

*Author to whom correspondence should be addressed.


Abstract

Aims/Objectives: We propose a dual method of Carroll's generalized canonical correlation analysis and we prove by means of the proposed criterion that the duality is formulated by exchanging the operators. It is an extension of Carroll's generalized canonical correlation analysis. The approach of analysis is illustrated on the basis of case study.

Keywords: Dual generalized canonical correlation analysis, data set partitioned in groups of individuals, principal component analysis


How to Cite

Malouata, Rodnellin Onesime, Gelin Chedly Louzayadio, Michel Koukouatikissa Diafouka, and Leonard Niere. 2021. “A Dual Method of Carroll’s Generalized Canonical Correlation Analysis”. Journal of Advances in Mathematics and Computer Science 36 (11):16-26. https://doi.org/10.9734/jamcs/2021/v36i1130414.

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