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Optimal construction of k-nearest neighbor graphs for identifying noisy
  clusters

Optimal construction of k-nearest neighbor graphs for identifying noisy clusters

17 December 2009
Markus Maier
Matthias Hein
U. V. Luxburg
ArXiv (abs)PDFHTML

Papers citing "Optimal construction of k-nearest neighbor graphs for identifying noisy clusters"

34 / 34 papers shown
Title
Latent Functional Maps
Latent Functional Maps
Marco Fumero
Marco Pegoraro
Valentino Maiorca
Francesco Locatello
Emanuele Rodolà
105
0
0
20 Jun 2024
Parallel Strong Connectivity Based on Faster Reachability
Parallel Strong Connectivity Based on Faster Reachability
Letong Wang
Xiaojun Dong
Yan Gu
Yihan Sun
47
18
0
08 Mar 2023
Statistical analysis of a hierarchical clustering algorithm with
  outliers
Statistical analysis of a hierarchical clustering algorithm with outliers
N. Klutchnikoff
A. Poterie
L. Rouviere
23
3
0
18 Mar 2022
Multi-modal Networks Reveal Patterns of Operational Similarity of
  Terrorist Organizations
Multi-modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations
G. Campedelli
Iain J. Cruickshank
Kathleen M. Carley
79
6
0
15 Dec 2021
Coordinating Narratives and the Capitol Riots on Parler
Coordinating Narratives and the Capitol Riots on Parler
Lynnette Hui Xian Ng
Iain J. Cruickshank
Kathleen M. Carley
64
19
0
02 Sep 2021
Clustering with UMAP: Why and How Connectivity Matters
Clustering with UMAP: Why and How Connectivity Matters
Ayushi Dalmia
Suzanna Sia
16
12
0
12 Aug 2021
The Coreness and H-Index of Random Geometric Graphs
The Coreness and H-Index of Random Geometric Graphs
Eddie Aamari
E. Arias-Castro
Clément Berenfeld
121
4
0
07 May 2021
A Topological Filter for Learning with Label Noise
A Topological Filter for Learning with Label Noise
Pengxiang Wu
Songzhu Zheng
Mayank Goswami
Dimitris N. Metaxas
Chao Chen
NoLa
81
113
0
09 Dec 2020
Clustering of Big Data with Mixed Features
Clustering of Big Data with Mixed Features
Joshua Tobin
Mimi Zhang
21
1
0
11 Nov 2020
Local Two-Sample Testing over Graphs and Point-Clouds by Random-Walk
  Distributions
Local Two-Sample Testing over Graphs and Point-Clouds by Random-Walk Distributions
Boris Landa
Rihao Qu
Joseph T. Chang
Y. Kluger
27
4
0
06 Nov 2020
Characterizing Communities of Hashtag Usage on Twitter During the 2020
  COVID-19 Pandemic by Multi-view Clustering
Characterizing Communities of Hashtag Usage on Twitter During the 2020 COVID-19 Pandemic by Multi-view Clustering
Iain J. Cruickshank
Kathleen M. Carley
41
41
0
03 Aug 2020
Improved spectral convergence rates for graph Laplacians on
  epsilon-graphs and k-NN graphs
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs
Jeff Calder
Nicolas García Trillos
99
40
0
29 Oct 2019
Density-based Clustering with Best-scored Random Forest
Density-based Clustering with Best-scored Random Forest
H. Hang
Yuchao Cai
Hanfang Yang
19
1
0
24 Jun 2019
Multiple Manifold Clustering Using Curvature Constrained Path
Multiple Manifold Clustering Using Curvature Constrained Path
A. Babaeian
34
10
0
04 Dec 2018
Adaptive Nonparametric Clustering
Adaptive Nonparametric Clustering
Kirill Efimov
Larisa Adamyan
V. Spokoiny
48
13
0
26 Sep 2017
Adaptive Clustering Using Kernel Density Estimators
Adaptive Clustering Using Kernel Density Estimators
Ingo Steinwart
Bharath K. Sriperumbudur
P. Thomann
45
8
0
17 Aug 2017
Density Level Set Estimation on Manifolds with DBSCAN
Density Level Set Estimation on Manifolds with DBSCAN
Heinrich Jiang
65
32
0
10 Mar 2017
Recursive nearest agglomeration (ReNA): fast clustering for
  approximation of structured signals
Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals
Andrés Hoyos-Idrobo
Gaël Varoquaux
J. Kahn
Bertrand Thirion
58
22
0
15 Sep 2016
Modal-set estimation with an application to clustering
Modal-set estimation with an application to clustering
Heinrich Jiang
Samory Kpotufe
51
25
0
13 Jun 2016
Color graph based wavelet transform with perceptual information
Color graph based wavelet transform with perceptual information
Mohamed Malek
David Helbert
P. Carré
15
9
0
19 Oct 2015
Motion planning using shortest path
Jalil Rasekhi
3DPC
29
0
0
03 Sep 2015
On clustering procedures and nonparametric mixture estimation
On clustering procedures and nonparametric mixture estimation
S. Auray
N. Klutchnikoff
L. Rouviere
33
2
0
06 Feb 2015
Fully adaptive density-based clustering
Fully adaptive density-based clustering
Ingo Steinwart
58
37
0
30 Sep 2014
Streaming Graph Partitioning in the Planted Partition Model
Streaming Graph Partitioning in the Planted Partition Model
Charalampos E. Tsourakakis
57
24
0
30 Jun 2014
Consistent procedures for cluster tree estimation and pruning
Consistent procedures for cluster tree estimation and pruning
Kamalika Chaudhuri
S. Dasgupta
Samory Kpotufe
U. V. Luxburg
88
65
0
05 Jun 2014
Fast $k$-NNG construction with GPU-based quick multi-select
Fast kkk-NNG construction with GPU-based quick multi-select
I. Komarov
A. Dashti
R. D'Souza
50
25
0
21 Sep 2013
DeBaCl: A Python Package for Interactive DEnsity-BAsed CLustering
DeBaCl: A Python Package for Interactive DEnsity-BAsed CLustering
Brian P. Kent
Alessandro Rinaldo
Timothy D. Verstynen
64
21
0
30 Jul 2013
Cluster Trees on Manifolds
Cluster Trees on Manifolds
Sivaraman Balakrishnan
S. Narayanan
Alessandro Rinaldo
Aarti Singh
Larry A. Wasserman
101
45
0
24 Jul 2013
Spectral Clustering Based on Local PCA
Spectral Clustering Based on Local PCA
E. Arias-Castro
Gilad Lerman
Teng Zhang
96
100
0
09 Jan 2013
Behavior of Graph Laplacians on Manifolds with Boundary
Behavior of Graph Laplacians on Manifolds with Boundary
Xueyuan Zhou
M. Belkin
40
1
0
19 May 2011
Pruning nearest neighbor cluster trees
Pruning nearest neighbor cluster trees
Samory Kpotufe
U. V. Luxburg
96
56
0
03 May 2011
How the result of graph clustering methods depends on the construction
  of the graph
How the result of graph clustering methods depends on the construction of the graph
Markus Maier
U. V. Luxburg
Matthias Hein
80
47
0
10 Feb 2011
Spectral clustering based on local linear approximations
Spectral clustering based on local linear approximations
E. Arias-Castro
Guangliang Chen
Gilad Lerman
126
95
0
08 Jan 2010
Clustering Based on Pairwise Distances When the Data is of Mixed
  Dimensions
Clustering Based on Pairwise Distances When the Data is of Mixed Dimensions
E. Arias-Castro
86
37
0
12 Sep 2009
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