14 search results - page 1 / 3 » Model Selection and Stability in k-means Clustering |
95
Voted
COLT
2008
Springer
15 years 21 days ago
2008
Springer
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
101
Voted
ML
2010
ACM
14 years 9 months ago
2010
ACM
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
82
Voted
COLT
2008
Springer
15 years 21 days ago
2008
Springer
In this paper, we investigate stability-based methods for cluster model selection, in particular to select the number K of clusters. The scenario under consideration is that clust...
86
Voted
BMCBI
2007
14 years 11 months ago
2007
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
88
Voted
CVPR
2006
IEEE
16 years 28 days ago
2006
IEEE
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method...