Clustering with Bregman Divergences: an Asymptotic Analysis.
Chaoyue LiuMikhail BelkinPublished in: NIPS (2016)
Keyphrases
- asymptotic analysis
- bregman divergences
- information theoretic
- clustering algorithm
- fluid model
- maximum entropy
- k means
- clustering method
- cost sensitive
- mahalanobis distance
- nonnegative matrix factorization
- nearest neighbor
- loss function
- learning theory
- document clustering
- bayesian networks
- special case
- data dependent
- kl divergence
- spectral clustering
- mutual information