ResearchTrend.AI
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
ArXiv (abs)PDFHTML

Papers citing "Quantifying uncertainty in spectral clusterings: expectations for perturbed and incomplete data"

5 / 5 papers shown
Title
Average Sensitivity of Spectral Clustering
Average Sensitivity of Spectral Clustering
Pan Peng
Yuichi Yoshida
59
23
0
07 Jun 2020
Level sets estimation and Vorobév expectation of random compact sets
Level sets estimation and Vorobév expectation of random compact sets
P. Heinrich
R. Stoica
V. Tran
MDE
83
15
0
26 Jun 2010
Confidence Regions for Means of Random Sets using Oriented Distance Functions
Confidence Regions for Means of Random Sets using Oriented Distance Functions
H. Jankowski
L. Stanberry
146
16
0
10 Mar 2009
Expectations of Random Sets and Their Boundaries Using Oriented Distance Functions
Expectations of Random Sets and Their Boundaries Using Oriented Distance Functions
L. Stanberry
H. Jankowski
127
22
0
10 Mar 2009
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
294
10,575
0
01 Nov 2007