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cs.LG2018
Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets
Jia Chen, Gang Wang, Georgios B. Giannakis
Principal component analysis (PCA) is widely used for feature extraction and dimensionality reduction, with documented merits in diverse tasks involving high-dimensional data. Stan…
cs.LG2017
DPCA: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets
Gang Wang, Jia Chen, Georgios B. Giannakis
Principal component analysis (PCA) has well-documented merits for data extraction and dimensionality reduction. PCA deals with a single dataset at a time, and it is challenged when…