Abstract: Principal Component Analysis (PCA) aims to acquire the principal component space containing the essential structure of data, instead of being used for mining and extracting the essential ...
Abstract: In this study, we compare the performance of Principal Component Analysis (PCA), Sparse PCA (SPCA), Robust PCA (RPCA), and Weighted PCA (WPCA) on a high-dimensional dataset of economic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback