on nonparametric dimensionality reduction are rather sparse. Principal component analysis (PCA) and multiple …

-of-the-art machine-learning methods. In this study, we employed a novel approach that combines an extended version of principal component … analysis (PCA) and a reinforcement learning algorithm to achieve efficient clustering and data reduction. The primary …

test the framed hypothesis, the study employs Principal Component Analysis and OLS regression. The results uncover that …