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Concentration of kernel matrices with application to kernel spectral
  clustering
v1v2 (latest)

Concentration of kernel matrices with application to kernel spectral clustering

7 September 2019
Arash A. Amini
Zahra S. Razaee
ArXiv (abs)PDFHTML

Papers citing "Concentration of kernel matrices with application to kernel spectral clustering"

4 / 4 papers shown
Title
Learning Low-Dimensional Nonlinear Structures from High-Dimensional
  Noisy Data: An Integral Operator Approach
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach
Xiucai Ding
Rongkai Ma
95
9
0
28 Feb 2022
Latent structure blockmodels for Bayesian spectral graph clustering
Latent structure blockmodels for Bayesian spectral graph clustering
Francesco Sanna Passino
N. Heard
69
1
0
04 Jul 2021
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with
  Heteroskedasticity and Dependence
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence
Joshua Agterberg
Zachary Lubberts
Carey Priebe
99
21
0
27 May 2021
Impact of signal-to-noise ratio and bandwidth on graph Laplacian
  spectrum from high-dimensional noisy point cloud
Impact of signal-to-noise ratio and bandwidth on graph Laplacian spectrum from high-dimensional noisy point cloud
Xiucai Ding
Hau‐Tieng Wu
121
13
0
21 Nov 2020
1