Explore MATLAB source code curated for "核pca" with clean implementations, documentation, and examples.
A comprehensive source code implementation of Kernel Principal Component Analysis (KPCA) featuring ORL32 and YALE32 facial datasets, including core algorithm implementation and data preprocessing modules for pattern recognition applications.
Implementation of image recognition through Kernel Principal Component Analysis (KPCA), utilizing 200 test images and 200 training images provided in a compressed archive. The solution includes feature extraction, dimensionality reduction, and classification workflows.
MATLAB code implementation of Kernel Principal Component Analysis (KPCA) for nonlinear dimensionality reduction
Kernel PCA for Image Recognition with Implementation Approaches