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Spectral Sparse Representation for Clustering: Evolved from PCA,
  K-means, Laplacian Eigenmap, and Ratio Cut
v1v2v3v4 (latest)

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

25 March 2014
Zhenfang Hu
Gang Pan
Yueming Wang
Zhaohui Wu
ArXiv (abs)PDFHTML

Papers citing "Spectral Sparse Representation for Clustering: Evolved from PCA, K-means, Laplacian Eigenmap, and Ratio Cut"

1 / 1 papers shown
Title
Spectral-graph Based Classifications: Linear Regression for
  Classification and Normalized Radial Basis Function Network
Spectral-graph Based Classifications: Linear Regression for Classification and Normalized Radial Basis Function Network
Zhenfang Hu
Gang Pan
Zhaohui Wu
20
1
0
19 May 2017
1