Umap, Machine Learning, AI, Dimensionality Reduction.
advantages and providing Python examples where possible. Kernel PCA: Kernel PCA extends PCA by using kernel functions to capture non-linear relationships. It maps data into a higher-dimensional space where linear PCA can be applied. An example with an RBF kernel: from sklearn.decomposition import