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Fast and Simple Spectral Clustering in Theory and Practice

Fast and Simple Spectral Clustering in Theory and Practice

17 October 2023
Peter Macgregor
ArXivPDFHTML

Papers citing "Fast and Simple Spectral Clustering in Theory and Practice"

5 / 5 papers shown
Title
Riemannian Optimization on Relaxed Indicator Matrix Manifold
Riemannian Optimization on Relaxed Indicator Matrix Manifold
Jinghui Yuan
Fangyuan Xie
Feiping Nie
Xuelong Li
72
0
0
26 Mar 2025
Coreset Spectral Clustering
Ben Jourdan
Gregory Schwartzman
Peter Macgregor
He Sun
42
0
0
10 Mar 2025
State Space Models for Extractive Summarization in Low Resource Scenarios
State Space Models for Extractive Summarization in Low Resource Scenarios
Nisrine Ait Khayi
26
0
0
24 Jan 2025
Clustering by Mining Density Distributions and Splitting Manifold
  Structure
Clustering by Mining Density Distributions and Splitting Manifold Structure
Zhichang Xu
Zhiguo Long
Hua Meng
13
0
0
20 Aug 2024
Spectral Toolkit of Algorithms for Graphs: Technical Report (1)
Spectral Toolkit of Algorithms for Graphs: Technical Report (1)
Peter Macgregor
He Sun
21
4
0
05 Apr 2023
1