94 search results - page 1 / 19 » A probabilistic framework for semi-supervised clustering |
PAMI
2011
12 years 11 months ago
2011
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
ICDAR
2009
IEEE
13 years 2 months ago
2009
IEEE
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ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
ICPR
2002
IEEE
14 years 5 months ago
2002
IEEE
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...