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Analysis of spectral clustering algorithms for community detection: the
  general bipartite setting

Analysis of spectral clustering algorithms for community detection: the general bipartite setting

12 March 2018
Zhixin Zhou
Arash A. Amini
ArXivPDFHTML

Papers citing "Analysis of spectral clustering algorithms for community detection: the general bipartite setting"

7 / 7 papers shown
Title
Fundamental Limits of Spectral Clustering in Stochastic Block Models
Fundamental Limits of Spectral Clustering in Stochastic Block Models
An Zhang
44
4
0
23 Jan 2023
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power
  Method
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power Method
Guillaume Braun
Hemant Tyagi
25
5
0
24 May 2022
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
44
9
0
28 Feb 2022
Community detection for weighted bipartite networks
Community detection for weighted bipartite networks
Huan Qing
Jingli Wang
47
11
0
21 Sep 2021
Directed mixed membership stochastic blockmodel
Directed mixed membership stochastic blockmodel
Huan Qing
Jingli Wang
25
5
0
07 Jan 2021
Biclustering and Boolean Matrix Factorization in Data Streams
Biclustering and Boolean Matrix Factorization in Data Streams
S. Neumann
Pauli Miettinen
24
6
0
05 Dec 2020
Extended Stochastic Block Models with Application to Criminal Networks
Extended Stochastic Block Models with Application to Criminal Networks
Sirio Legramanti
T. Rigon
Daniele Durante
David B. Dunson
40
21
0
16 Jul 2020
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