Machine Learning, Artificial Intelligence, Dimensionality Reduction, Pca Analysis.
nonlinear datasets. It leverages the kernel trick to uncover linear relationships in a transformed higher-dimensional space, thus extending PCA’s utility to nonlinear contexts. Kernel PCA Conclusion In conclusion, dimensionality reduction is an indispensable tool in machine learning. It simplifies