Nonlinear Dimensionality Reduction Algorithm Based on Kernel PCA

A kernel PCA-based nonlinear dimensionality reduction algorithm originally published in the Neurocomputing journal. Includes implementation insights on kernel function selection and eigenvalue decomposition for high-dimensional feature spaces.