Machine Learning, Artificial Intelligence, Dimensionality Reduction, Pca Analysis.
possible, especially with linear methods like PCA, it’s often imperfect. Non-linear methods and autoencoders present additional challenges, making exact reconstruction difficult, if not impossible. PCA with Nonlinear Datasets Although PCA is inherently linear, its adaptation, Kernel PCA, can tackle