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A Canonical Variate Analysis Biplot based on the Generalized Singular Value Decomposition
Raeesa Ganey, Sugnet Lubbe
https://arxiv.org/abs/2509.17463 https://

A Canonical Variate Analysis Biplot based on the Generalized Singular Value Decomposition
Canonical Variate Analysis (CVA) is a multivariate statistical technique and a direct application of Linear Discriminant Analysis (LDA) that aims to find linear combinations of variables that best differentiate between groups in a dataset. The data is partitioned into groups based on some predetermined criteria, and then linear combinations of the original variables are derived such that they maximize the separation between the groups. However, a common limitation of this optimization in CVA is…