Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction

9 Jan 2020Zhenhua ShiDongrui WuJian HuangYu-Kai WangChin-Teng Lin

Dimensionality reduction is an important operation in information visualization, feature extraction, clustering, regression, and classification, especially for processing noisy high dimensional data. However, most existing approaches preserve either the global or the local structure of the data, but not both... (read more)

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