14 search results - page 1 / 3 » Model Selection and Stability in k-means Clustering |
COLT
2008
Springer
13 years 6 months 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 ...
ML
2010
ACM
13 years 3 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...
COLT
2008
Springer
13 years 6 months 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...
BMCBI
2007
13 years 4 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 ...
CVPR
2006
IEEE
14 years 6 months 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...