Convex Relaxations of Bregman Divergence Clustering.
Hao ChengXinhua ZhangDale SchuurmansPublished in: CoRR (2013)
Keyphrases
- bregman divergences
- convex relaxation
- information theoretic
- k means
- mahalanobis distance
- multi label
- cost sensitive
- convex optimization
- unsupervised learning
- nonnegative matrix factorization
- data points
- spectral clustering
- document clustering
- kl divergence
- globally optimal
- loss function
- k nearest neighbor
- nearest neighbor