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ICPR
2002
IEEE
14 years 8 months ago
A Robust Semi-Supervised EM-Based Clustering Algorithm with a Reject Option
In this paper, we address the problem of semisupervision in the framework of parametric clustering by using labeled and unlabeled data together. Clustering algorithms can take adv...
Christophe Saint-Jean, Carl Frélicot
CICLING
2005
Springer
14 years 1 months ago
Name Discrimination by Clustering Similar Contexts
It is relatively common for different people or organizations to share the same name. Given the increasing amount of information available online, this results in the ever growing...
Ted Pedersen, Amruta Purandare, Anagha Kulkarni
PR
2008
130views more  PR 2008»
13 years 7 months ago
Active semi-supervised fuzzy clustering
Clustering algorithms are increasingly employed for the categorization of image databases, in order to provide users with database overviews and make their access more effective. ...
Nizar Grira, Michel Crucianu, Nozha Boujemaa
FIMH
2009
Springer
14 years 2 months ago
Cardiac Fibre Trace Clustering for the Interpretation of the Human Heart Architecture
Cardiac fibre architecture plays a key role in heart function. Recently, the estimation of fibre structure has been simplified with diffusion tensor MRI (DT-MRI). In order to as...
Carole Frindel, Marc C. Robini, Joël Schaerer...
CGF
2008
90views more  CGF 2008»
13 years 8 months ago
Visual Clustering in Parallel Coordinates
Parallel coordinates have been widely applied to visualize high-dimensional and multivariate data, discerning patterns within the data through visual clustering. However, the effe...
Hong Zhou, Xiaoru Yuan, Huamin Qu, Weiwei Cui, Bao...