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Eigen selection in spectral clustering: a theory guided practice
v1v2 (latest)

Eigen selection in spectral clustering: a theory guided practice

14 April 2020
Xiaoya Han
Xin Tong
Yingying Fan
ArXiv (abs)PDFHTML

Papers citing "Eigen selection in spectral clustering: a theory guided practice"

8 / 8 papers shown
Title
Asymptotic Theory of Eigenvectors for Random Matrices with Diverging
  Spikes
Asymptotic Theory of Eigenvectors for Random Matrices with Diverging Spikes
Jianqing Fan
Yingying Fan
Xiao Han
Jinchi Lv
28
18
0
19 Feb 2019
Singular vector and singular subspace distribution for the matrix
  denoising model
Singular vector and singular subspace distribution for the matrix denoising model
Z. Bao
Xiucai Ding
Ke Wang
75
51
0
27 Sep 2018
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
Emmanuel Abbe
Jianqing Fan
Kaizheng Wang
Yiqiao Zhong
119
251
0
27 Sep 2017
Phase Transitions for High Dimensional Clustering and Related Problems
Phase Transitions for High Dimensional Clustering and Related Problems
Jiashun Jin
Z. Ke
Wanjie Wang
73
51
0
24 Feb 2015
Influential Feature PCA for high dimensional clustering
Influential Feature PCA for high dimensional clustering
Jiashun Jin
Wanjie Wang
120
80
0
20 Jul 2014
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean
  Separation
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation
Martin Azizyan
Aarti Singh
Larry A. Wasserman
107
64
0
09 Jun 2013
Sparse PCA: Optimal rates and adaptive estimation
Sparse PCA: Optimal rates and adaptive estimation
Tommaso Cai
Zongming Ma
Yihong Wu
149
327
0
06 Nov 2012
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
290
10,541
0
01 Nov 2007
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