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The geometry of kernelized spectral clustering

The geometry of kernelized spectral clustering

29 April 2014
Geoffrey Schiebinger
Martin J. Wainwright
Bin Yu
ArXivPDFHTML

Papers citing "The geometry of kernelized spectral clustering"

10 / 10 papers shown
Title
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
Vivien A. Cabannes
B. Kiani
Randall Balestriero
Yann LeCun
A. Bietti
SSL
26
31
0
06 Feb 2023
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Yubei Chen
Zeyu Yun
Yi Ma
Bruno A. Olshausen
Yann LeCun
54
8
0
30 Sep 2022
Understanding the Generalization Performance of Spectral Clustering
  Algorithms
Understanding the Generalization Performance of Spectral Clustering Algorithms
Shaojie Li
Shengqi Ouyang
Yong Liu
31
2
0
30 Apr 2022
The decomposition of the higher-order homology embedding constructed
  from the $k$-Laplacian
The decomposition of the higher-order homology embedding constructed from the kkk-Laplacian
Yu-Chia Chen
M. Meilă
32
9
0
23 Jul 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral
  Contrastive Loss
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
SSL
24
302
0
08 Jun 2021
Diffusion $K$-means clustering on manifolds: provable exact recovery via
  semidefinite relaxations
Diffusion KKK-means clustering on manifolds: provable exact recovery via semidefinite relaxations
Xiaohui Chen
Yun Yang
24
16
0
11 Mar 2019
Geometric structure of graph Laplacian embeddings
Geometric structure of graph Laplacian embeddings
Nicolas García Trillos
Franca Hoffmann
Bamdad Hosseini
33
23
0
30 Jan 2019
Learning by Unsupervised Nonlinear Diffusion
Learning by Unsupervised Nonlinear Diffusion
Mauro Maggioni
James M. Murphy
DiffM
32
40
0
15 Oct 2018
Identifiability of Nonparametric Mixture Models and Bayes Optimal
  Clustering
Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering
Bryon Aragam
Chen Dan
Eric Xing
Pradeep Ravikumar
24
29
0
12 Feb 2018
Unsupervised Clustering and Active Learning of Hyperspectral Images with
  Nonlinear Diffusion
Unsupervised Clustering and Active Learning of Hyperspectral Images with Nonlinear Diffusion
James M. Murphy
Mauro Maggioni
DiffM
13
30
0
26 Apr 2017
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