Searching for "Clustering with Bregman Divergences." – sorted by Relevance.
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Clustering with Bregman Divergences
- Clustering with Bregman Divergences Arindam Banerjee Srujana Merugu Inderjit Dhillon y
- Cited by 91 (22 self) – Add To MetaCart
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On weighting clustering
- . More precisely, we handle clustering as a constrained minimization of a Bregman divergence. Weight
- Cited by 4 (0 self) – Add To MetaCart
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Cv
- measures known as Bregman divergences, thus yielding generalized, scalable clustering algorithms. Studied
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joint work with A.Banerjee, H.Cho, J.Ghosh, Y.Guan, S.Merugu, D.Modha, S.Sra and J.Tropp
- . [Banerjee, Merugu, Dhillon, Ghosh, 2005] — “Clustering with Bregman Divergences”, Journal of Machine
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Learning with constrained and unlabeled data
- the distance to cluster centroids with respect to a Bregman divergence [1] (e.g. kmeans with squared Euclidean
- Cited by 9 (1 self) – Add To MetaCart
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Supervised Learning of Quantizer Codebooks by Information Loss Minimization
- in the context of clustering with Bregman divergences [7], of which the relative entropy is a special case
- Cited by 2 (0 self) – Add To MetaCart

