Sciweavers

25041 search results - page 170 / 5009
» Algorithms for Clustering Data
Sort
View
ICTAI
2008
IEEE
14 years 2 months ago
An Incremental Hough Transform for Detecting Ellipses in Image Data Streams
In this paper, we present a purely incremental, scalable algorithm for the detection of elliptical shapes in images. Our method uses an incremental version of the Random Hough Tra...
Sofiane Sellah, Olfa Nasraoui
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
14 years 56 min ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
ECML
2006
Springer
13 years 10 months ago
B-Matching for Spectral Clustering
We propose preprocessing spectral clustering with b-matching to remove spurious edges in the adjacency graph prior to clustering. B-matching is a generalization of traditional maxi...
Tony Jebara, Vlad Shchogolev
EUSFLAT
2003
145views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Proximity fuzzy clustering for web context analysis
This study extends the web classification approach through a proximity-based fuzzy clustering sensible to the influence of the page. The proximity-based fuzzy clustering works in ...
Vincenzo Loia, Witold Pedrycz, Sabrina Senatore
KES
2010
Springer
13 years 6 months ago
W-kmeans: Clustering News Articles Using WordNet
 Document clustering is a powerful technique that has been widely used for organizing data into smaller and manageable information kernels. Several approaches have been proposed...
Christos Bouras, Vassilis Tsogkas