Clustering with Bregman Divergences.
Arindam BanerjeeSrujana MeruguInderjit S. DhillonJoydeep GhoshPublished in: J. Mach. Learn. Res. (2005)
Keyphrases
- bregman divergences
- information theoretic
- k means
- cost sensitive
- clustering algorithm
- squared euclidean distance
- clustering method
- maximum entropy
- learning theory
- nonnegative matrix factorization
- special case
- theoretical guarantees
- kl divergence
- loss function
- distance metric
- mahalanobis distance
- learning algorithm
- data points
- decision trees
- exponential family
- dissimilarity measure
- high dimensional
- data clustering
- unsupervised learning