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A Tutorial on Spectral Clustering

A Tutorial on Spectral Clustering

1 November 2007
U. V. Luxburg
ArXivPDFHTML

Papers citing "A Tutorial on Spectral Clustering"

38 / 38 papers shown
Title
Autoencoding Random Forests
Autoencoding Random Forests
Binh Duc Vu
Jan Kapar
Marvin N. Wright
David S. Watson
55
0
0
27 May 2025
Bi-Level Unsupervised Feature Selection
Bi-Level Unsupervised Feature Selection
Jingjing Liu
Xiansen Ju
Xianchao Xiu
Wanquan Liu
20
0
0
26 May 2025
Quantifying uncertainty in spectral clusterings: expectations for perturbed and incomplete data
Quantifying uncertainty in spectral clusterings: expectations for perturbed and incomplete data
Jürgen Dölz
Jolanda Weygandt
15
0
0
23 May 2025
Supervised Models Can Generalize Also When Trained on Random Labels
Supervised Models Can Generalize Also When Trained on Random Labels
Oskar Allerbo
Thomas B. Schön
OOD
SSL
71
0
0
16 May 2025
GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation
GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation
Ahmad Bin Rabiah
Julian McAuley
AI4TS
34
0
0
15 May 2025
No Query, No Access
No Query, No Access
Wenjie Wang
Siyuan Liang
Yize Zhang
Xiaojun Jia
Hao Lin
Xiaochun Cao
AAML
51
0
0
12 May 2025
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
Ming-Lun Lee
Han-Chang Chou
Yan-AnnChen
FedML
50
6
0
07 Apr 2025
Scalable Geometric Learning with Correlation-Based Functional Brain Networks
Scalable Geometric Learning with Correlation-Based Functional Brain Networks
Kisung You
Yelim Lee
Hae-Jeong Park
54
0
0
31 Mar 2025
3D variational autoencoder for fingerprinting microstructure volume elements
3D variational autoencoder for fingerprinting microstructure volume elements
Michael D. White
Michael D. Atkinson
Adam J. Plowman
Pratheek Shanthraj
64
0
0
21 Mar 2025
Hierarchical clustering with maximum density paths and mixture models
Hierarchical clustering with maximum density paths and mixture models
Martin Ritzert
Polina Turishcheva
Laura Hansel
Paul Wollenhaupt
Marissa A. Weis
Alexander S. Ecker
62
0
0
19 Mar 2025
Enhanced High-Dimensional Data Visualization through Adaptive Multi-Scale Manifold Embedding
Enhanced High-Dimensional Data Visualization through Adaptive Multi-Scale Manifold Embedding
Tianhao Ni
Bingjie Li
Zhigang Yao
357
0
0
18 Mar 2025
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions
P. Abry
G. Didier
Oliver Orejola
H. Wendt
103
0
0
30 Jan 2025
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs
Sawyer Robertson
Zhengchao Wan
Alexander Cloninger
OT
87
2
0
28 Jan 2025
Graph Analysis Using a GPU-based Parallel Algorithm: Quantum Clustering
Graph Analysis Using a GPU-based Parallel Algorithm: Quantum Clustering
Zhe Wang
Zhijie He
Ding Liu
GNN
87
0
0
17 Jan 2025
Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach
Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach
Kunpeng Xu
Lifei Chen
Shengrui Wang
59
1
0
10 Jan 2025
Disentangling data distribution for Federated Learning
Disentangling data distribution for Federated Learning
Xinyuan Zhao
Hanlin Gu
Lixin Fan
Qiang Yang
Yuxing Han
OOD
FedML
75
0
0
31 Dec 2024
Identifying Sub-networks in Neural Networks via Functionally Similar Representations
Identifying Sub-networks in Neural Networks via Functionally Similar Representations
Tian Gao
Amit Dhurandhar
Karthikeyan N. Ramamurthy
Dennis L. Wei
64
0
0
21 Oct 2024
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering
Mitchell Black
Lucy Lin
A. Nayyeri
Weng-Keen Wong
116
0
0
04 Jun 2024
A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization
A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization
A. Serani
Matteo Diez
AI4CE
59
2
0
22 May 2024
Manifold learning in Wasserstein space
Manifold learning in Wasserstein space
Keaton Hamm
Caroline Moosmüller
Bernhard Schmitzer
Matthew Thorpe
64
5
0
14 Nov 2023
Nonlinear Meta-Learning Can Guarantee Faster Rates
Nonlinear Meta-Learning Can Guarantee Faster Rates
Dimitri Meunier
Zhu Li
Arthur Gretton
Samory Kpotufe
58
6
0
20 Jul 2023
Expressive Text-to-Image Generation with Rich Text
Expressive Text-to-Image Generation with Rich Text
Songwei Ge
Taesung Park
Jun-Yan Zhu
Jia-Bin Huang
DiffM
99
80
0
13 Apr 2023
Graph Learning Across Data Silos
Graph Learning Across Data Silos
Xiang Zhang
Qiao Wang
99
1
0
17 Jan 2023
Implicit vs Unfolded Graph Neural Networks
Implicit vs Unfolded Graph Neural Networks
Yongyi Yang
Tang Liu
Yangkun Wang
Zengfeng Huang
David Wipf
125
15
0
12 Nov 2021
Shift of Pairwise Similarities for Data Clustering
Shift of Pairwise Similarities for Data Clustering
Morteza Haghir Chehreghani
51
4
0
25 Oct 2021
Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection
Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection
Gengxing Wang
Jiahuan Zhou
Ying Nian Wu
AAML
50
22
0
11 Aug 2020
Distributed Multi-agent Video Fast-forwarding
Distributed Multi-agent Video Fast-forwarding
Shuyue Lan
Zhilu Wang
Amit K. Roy-Chowdhury
Ermin Wei
Qi Zhu
38
7
0
10 Aug 2020
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
168
725
0
14 Jun 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
279
929
0
02 Mar 2020
Hierarchical Correlation Clustering and Tree Preserving Embedding
Hierarchical Correlation Clustering and Tree Preserving Embedding
M. Chehreghani
Mostafa Haghir Chehreghani
39
6
0
18 Feb 2020
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds
J. Harlim
D. Sanz-Alonso
Ruiyi Yang
32
19
0
23 Oct 2019
Orthogonal Nonnegative Tucker Decomposition
Orthogonal Nonnegative Tucker Decomposition
Junjun Pan
Michael K. Ng
Ye Liu
Xiongjun Zhang
Hong Yan
14
20
0
21 Oct 2019
On Spectral Analysis of Directed Signed Graphs
On Spectral Analysis of Directed Signed Graphs
Yuemeng Li
Xintao Wu
Aidong Lu
51
10
0
23 Dec 2016
Towards K-means-friendly Spaces: Simultaneous Deep Learning and
  Clustering
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang
Xiao Fu
N. Sidiropoulos
Mingyi Hong
DRL
33
868
0
15 Oct 2016
Constraint-Based Clustering Selection
Constraint-Based Clustering Selection
Toon van Craenendonck
Hendrik Blockeel
52
31
0
23 Sep 2016
Estimating perimeter using graph cuts
Estimating perimeter using graph cuts
Nicolas García Trillos
Dejan Slepvcev
J. V. Brecht
30
11
0
12 Feb 2016
Graph-based Predictable Feature Analysis
Graph-based Predictable Feature Analysis
Björn Weghenkel
Asja Fischer
Laurenz Wiskott
AI4TS
28
13
0
01 Feb 2016
A Spectral Series Approach to High-Dimensional Nonparametric Regression
A Spectral Series Approach to High-Dimensional Nonparametric Regression
Ann B. Lee
Rafael Izbicki
BDL
AI4TS
186
37
0
01 Feb 2016
1