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How the initialization affects the stability of the k-means algorithm

How the initialization affects the stability of the k-means algorithm

31 July 2009
Sébastien Bubeck
M. Meilă
U. V. Luxburg
ArXiv (abs)PDFHTML

Papers citing "How the initialization affects the stability of the k-means algorithm"

5 / 5 papers shown
Title
Differentiable Clustering with Perturbed Spanning Forests
Differentiable Clustering with Perturbed Spanning Forests
Lawrence Stewart
Francis R. Bach
Felipe Llinares-López
Quentin Berthet
101
11
0
25 May 2023
Clustering Mixed Datasets Using Homogeneity Analysis with Applications
  to Big Data
Clustering Mixed Datasets Using Homogeneity Analysis with Applications to Big Data
R. Sambasivan
Sourish Das
18
1
0
17 Aug 2016
Notes on using Determinantal Point Processes for Clustering with
  Applications to Text Clustering
Notes on using Determinantal Point Processes for Clustering with Applications to Text Clustering
Apoorv Agarwal
A. Choromańska
K. Choromanski
93
5
0
26 Oct 2014
Weighted Clustering
Weighted Clustering
Margareta Ackerman
Shai Ben-David
Simina Brânzei
D. Loker
135
71
0
08 Sep 2011
Clustering Stability: An Overview
Clustering Stability: An Overview
U. V. Luxburg
195
286
0
07 Jul 2010
1