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The Impact of Random Models on Clustering Similarity
v1v2 (latest)

The Impact of Random Models on Clustering Similarity

23 January 2017
Alexander J. Gates
Yong-Yeol Ahn
ArXiv (abs)PDFHTML

Papers citing "The Impact of Random Models on Clustering Similarity"

32 / 32 papers shown
Title
Doubly Robust Fusion of Many Treatments for Policy Learning
Doubly Robust Fusion of Many Treatments for Policy Learning
Ke Zhu
Jianing Chu
I. Lipkovich
Wenyu Ye
Shu Yang
139
0
0
12 May 2025
Random Normed k-Means: A Paradigm-Shift in Clustering within Probabilistic Metric Spaces
Random Normed k-Means: A Paradigm-Shift in Clustering within Probabilistic Metric Spaces
Abderrafik Laakel Hemdanou
Youssef Achtoun
Mohammed Lamarti Sefian
Ismail Tahiri
Abdellatif El Afia
52
0
0
04 Apr 2025
Mini-Batch Kernel $k$-means
Mini-Batch Kernel kkk-means
Ben Jourdan
Gregory Schwartzman
63
1
0
08 Oct 2024
Estimating Agreement by Chance for Sequence Annotation
Estimating Agreement by Chance for Sequence Annotation
Diya Li
Carolyn Rose
Ao Yuan
Chunxiao Zhou
23
0
0
16 Jul 2024
Random Models for Fuzzy Clustering Similarity Measures
Random Models for Fuzzy Clustering Similarity Measures
Ryan DeWolfe
Jeffery L. Andrews
25
0
0
16 Dec 2023
Fast and Simple Spectral Clustering in Theory and Practice
Fast and Simple Spectral Clustering in Theory and Practice
Peter Macgregor
82
6
0
17 Oct 2023
Leveraging Model-based Trees as Interpretable Surrogate Models for Model
  Distillation
Leveraging Model-based Trees as Interpretable Surrogate Models for Model Distillation
J. Herbinger
Susanne Dandl
F. K. Ewald
Sofia Loibl
Giuseppe Casalicchio
TPM
46
3
0
04 Oct 2023
Normalized mutual information is a biased measure for classification and
  community detection
Normalized mutual information is a biased measure for classification and community detection
Max Jerdee
Alec Kirkley
M. E. Newman
78
10
0
03 Jul 2023
visClust: A visual clustering algorithm based on orthogonal projections
visClust: A visual clustering algorithm based on orthogonal projections
Anna Breger
Clemens Karner
Martin Ehler
12
3
0
07 Nov 2022
Normalised clustering accuracy: An asymmetric external cluster validity
  measure
Normalised clustering accuracy: An asymmetric external cluster validity measure
M. Gagolewski
69
2
0
07 Sep 2022
Network homophily via tail inequalities
Network homophily via tail inequalities
N. Apollonio
P. G. Franciosa
D. Santoni
19
1
0
03 Aug 2022
A Tighter Analysis of Spectral Clustering, and Beyond
A Tighter Analysis of Spectral Clustering, and Beyond
Peter Macgregor
He Sun
73
15
0
02 Aug 2022
Are Cluster Validity Measures (In)valid?
Are Cluster Validity Measures (In)valid?
M. Gagolewski
Maciej Bartoszuk
Anna Cena
66
38
0
02 Aug 2022
GraphPMU: Event Clustering via Graph Representation Learning Using
  Locationally-Scarce Distribution-Level Fundamental and Harmonic PMU
  Measurements
GraphPMU: Event Clustering via Graph Representation Learning Using Locationally-Scarce Distribution-Level Fundamental and Harmonic PMU Measurements
Armin Aligholian
Hamed Mohsenian-Rad
123
8
0
26 May 2022
Shape complexity in cluster analysis
Shape complexity in cluster analysis
E. Aguilar
V. Barbosa
21
0
0
17 May 2022
Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs
Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs
Koby Hayashi
Sinan G. Aksoy
Ha-Myung Park
25
4
0
02 Mar 2022
Lead-lag detection and network clustering for multivariate time series
  with an application to the US equity market
Lead-lag detection and network clustering for multivariate time series with an application to the US equity market
Stefanos Bennett
Mihai Cucuringu
Gesine Reinert
AI4TS
180
26
0
20 Jan 2022
UnweaveNet: Unweaving Activity Stories
UnweaveNet: Unweaving Activity Stories
Will Price
Carl Vondrick
Dima Damen
EgoV
110
13
0
19 Dec 2021
An objective function for order preserving hierarchical clustering
An objective function for order preserving hierarchical clustering
Daniel Bakkelund
33
0
0
09 Sep 2021
Local Algorithms for Finding Densely Connected Clusters
Local Algorithms for Finding Densely Connected Clusters
Peter Macgregor
He Sun
GNN
52
8
0
09 Jun 2021
Characterizing and comparing external measures for the assessment of
  cluster analysis and community detection
Characterizing and comparing external measures for the assessment of cluster analysis and community detection
Nejat Arınık
Vincent Labatut
R. Figueiredo
33
14
0
01 Feb 2021
Higher-Order Spectral Clustering of Directed Graphs
Higher-Order Spectral Clustering of Directed Graphs
Steinar Laenen
He Sun
73
23
0
10 Nov 2020
Hierarchical community structure in networks
Hierarchical community structure in networks
Michael T. Schaub
Jiaze Li
Leto Peel
66
20
0
15 Sep 2020
Order preserving hierarchical agglomerative clustering
Order preserving hierarchical agglomerative clustering
Daniel Bakkelund
28
9
0
26 Apr 2020
Deep Learning for Biomedical Image Reconstruction: A Survey
Deep Learning for Biomedical Image Reconstruction: A Survey
Hanene Ben Yedder
Ben Cardoen
Ghassan Hamarneh
MedIm3DV
129
97
0
26 Feb 2020
FISHDBC: Flexible, Incremental, Scalable, Hierarchical Density-Based
  Clustering for Arbitrary Data and Distance
FISHDBC: Flexible, Incremental, Scalable, Hierarchical Density-Based Clustering for Arbitrary Data and Distance
Matteo DellÁmico
28
13
0
16 Oct 2019
Hermitian matrices for clustering directed graphs: insights and
  applications
Hermitian matrices for clustering directed graphs: insights and applications
Ning Zhang
Huan Li
He Sun
Luca Zanetti
86
49
0
06 Aug 2019
A close-up comparison of the misclassification error distance and the
  adjusted Rand index for external clustering evaluation
A close-up comparison of the misclassification error distance and the adjusted Rand index for external clustering evaluation
José E. Chacón
62
16
0
26 Jul 2019
SPONGE: A generalized eigenproblem for clustering signed networks
SPONGE: A generalized eigenproblem for clustering signed networks
Ning Zhang
Peter Davies
Aldo Glielmo
Hemant Tyagi
62
50
0
18 Apr 2019
An MBO scheme for clustering and semi-supervised clustering of signed
  networks
An MBO scheme for clustering and semi-supervised clustering of signed networks
Ning Zhang
A. Pizzoferrato
Y. Gennip
77
16
0
10 Jan 2019
Comparing Graph Clusterings: Set partition measures vs. Graph-aware
  measures
Comparing Graph Clusterings: Set partition measures vs. Graph-aware measures
Valérie Poulin
F. Théberge
18
4
0
29 Jun 2018
Element-centric clustering comparison unifies overlaps and hierarchy
Element-centric clustering comparison unifies overlaps and hierarchy
Alexander J. Gates
Ian B. Wood
W. Hetrick
Yong-Yeol Ahn
75
90
0
19 Jun 2017
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