Online Coresets for Clustering with Bregman Divergences.
Rachit ChhayaJayesh ChoudhariAnirban DasguptaSupratim ShitPublished in: CoRR (2020)
Keyphrases
- bregman divergences
- information theoretic
- cost sensitive
- clustering algorithm
- maximum entropy
- squared euclidean distance
- clustering method
- loss function
- unsupervised learning
- mahalanobis distance
- nonnegative matrix factorization
- k means
- kl divergence
- exponential family
- spectral clustering
- learning theory
- mutual information
- document clustering
- density estimation
- dissimilarity measure
- negative matrix factorization
- distance metric
- high dimensional data
- model selection
- data points