1241 search results - page 86 / 249 » Robust Bayesian clustering |
PAKDD
2007
ACM
14 years 1 months ago
2007
ACM
The co-association (CA) matrix was previously introduced to combine multiple partitions. In this paper, we analyze the CA matrix, and address its difference from the similarity ma...
WILF
2007
Springer
14 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...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
COLING
2010
13 years 2 months ago
2010
Multi-document summarization aims to produce a concise summary that contains salient information from a set of source documents. In this field, sentence ranking has hitherto been ...
SIGMOD
1998
ACM
14 years 1 days ago
1998
ACM
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...