8776 search results - page 20 / 1756 » Robust Data Clustering |
NIPS
2003
13 years 10 months ago
2003
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
WILF
2007
Springer
14 years 2 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
14 years 7 days 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...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...
MLDM
1999
Springer
14 years 25 days ago
1999
Springer
In large content-based image database applications, e cient information retrieval depends heavily on good indexing structures of the extracted features. While indexing techniques f...