5733 search results - page 290 / 1147 » Clustering Categorical Data |
171
Voted
SSDBM
2008
IEEE
16 years 1 months ago
2008
IEEE
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
170
Voted
ICRA
2007
IEEE
16 years 1 months ago
2007
IEEE
Abstract— This paper presents a novel use of spectral clustering algorithms to support cases where the entries in the affinity matrix are costly to compute. The method is increm...
192
Voted
WILF
2007
Springer
16 years 1 months ago
2007
Springer
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
248
Voted
IJCNN
2006
IEEE
16 years 1 months ago
2006
IEEE
— Recent work has revealed a close connection between certain information theoretic divergence measures and properties of Mercer kernel feature spaces. Specifically, it has been...
216
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ICTAI
2005
IEEE
16 years 1 months ago
2005
IEEE
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...