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CORR
2004
Springer
13 years 8 months ago
2004
Springer
SDM
2004
SIAM
13 years 10 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...
ISBI
2004
IEEE
14 years 9 months ago
2004
IEEE
A general framework for performing robust, unsupervised tissue classification in magnetic resonance images is presented. Tissue classification is formulated as an estimation probl...
NIPS
2004
13 years 10 months ago
2004
Clustering and prediction of sets of curves is an important problem in many areas of science and engineering. It is often the case that curves tend to be misaligned from each othe...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...