Empirical Evaluation of Kernel PCA Approximation Methods in Classification Tasks

Deena P. Francis, Kumudha Raimond

Kernel Principal Component Analysis (KPCA) is a popular dimensionality reduction technique with a wide range of applications. However, it suffers from the problem of poor scalabili…