Machine Learning, Data Science, Geoscience, Artificial Intelligence, AI.
PCA Kernel PCA (kPCA) basically is a PCA that uses kernel parameter. Kernel is a function that can be adjusted so that it can transform data in non-linear form. Some popular kernel functions are radial, polynomial, and cosine. Kernel function will convert the original data into a non-linear feature