most citedSpectral Sparse Representation for Clustering: Evolved from PCA, K-means, Laplacian Eigenmap, and Ratio Cut

2 citations · 4 across the 3 of their papers we have counts for

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cs.LG2017

Spectral-graph Based Classifications: Linear Regression for Classification and Normalized Radial Basis Function Network

Zhenfang Hu, Gang Pan, Zhaohui Wu

Spectral graph theory has been widely applied in unsupervised and semi-supervised learning. In this paper, we find for the first time, to our knowledge, that it also plays a concre…

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…