Explore MATLAB source code curated for "CCA" with clean implementations, documentation, and examples.
A comprehensive MATLAB toolkit containing implementations of essential feature extraction algorithms including PCA, CCA, MNF, PLS, KPCA, KCCA, KMNF, and KPLS with complete source code and mathematical formulations.
MATLAB implementation of the CCA manifold learning algorithm developed by Fei Sha et al., based on MVU algorithm framework with computational efficiency considerations
CCA code implementation for face recognition systems with comprehensive inline comments and detailed explanations for easy understanding and learning
MATLAB code for performing Canonical Correlation Analysis between two images, with input parameters: input image 1, input image 2, rows, columns, channel 1, channel 2, and output matrix. The implementation involves preprocessing, feature extraction, and correlation computation using canonical correlation algorithms.
A meticulously developed CCA implementation that achieves identical experimental results to standard CCA algorithms. The code features enhanced readability through modular function design, comprehensive commenting, and follows MATLAB best practices for variable naming and code organization.