75 citations · 99 across the 22 of their papers we have counts for
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cs.LG2014★ 2 cited
Sparse Principal Component Analysis via Rotation and Truncation
Zhenfang Hu, Gang Pan, Yueming Wang +1
Sparse principal component analysis (sparse PCA) aims at finding a sparse basis to improve the interpretability over the dense basis of PCA, meanwhile the sparse basis should cover…
cs.CV2014★ 2 cited
Spectral Sparse Representation for Clustering: Evolved from PCA, K-means, Laplacian Eigenmap, and Ratio Cut
Zhenfang Hu, Gang Pan, Yueming Wang +1
Dimensionality reduction, cluster analysis, and sparse representation are basic components in machine learning. However, their relationships have not yet been fully investigated. I…