Quantization and clustering with Bregman divergences.
Aurélie FischerPublished in: J. Multivar. Anal. (2010)
Keyphrases
- bregman divergences
- information theoretic
- clustering algorithm
- cost sensitive
- k means
- maximum entropy
- mahalanobis distance
- unsupervised learning
- learning theory
- clustering method
- nearest neighbor
- kl divergence
- theoretical guarantees
- data points
- squared euclidean distance
- loss function
- nonnegative matrix factorization
- distance metric
- multi class