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» Semi-supervised Learning by Entropy Minimization
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SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
13 years 6 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...