Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery.
Ashkan PanahiDevdatt P. DubhashiFredrik D. JohanssonChiranjib BhattacharyyaPublished in: ICML (2017)
Keyphrases
- clustering algorithm
- data clustering
- hierarchical clustering
- cluster analysis
- overlapping clusters
- clustering framework
- clustering method
- unsupervised clustering
- data points
- inter cluster
- intra cluster
- constrained clustering
- cluster centers
- disjoint clusters
- cluster membership
- k means
- clustering scheme
- clustering procedure
- evolutionary clustering
- supervised clustering
- clustering approaches
- density based clustering
- stochastic approximation
- clustering quality
- density based clustering algorithm
- clustering analysis
- subspace clustering
- hierarchical clustering algorithm
- categorical data
- validity measures
- agglomerative hierarchical clustering
- spectral clustering
- model based clustering
- instance level constraints
- unsupervised learning
- overlapping clustering
- homogeneous groups
- validity indices
- cluster structure
- hierarchical agglomerative clustering
- iterative algorithms
- document clustering
- cluster validity
- cluster validation
- fuzzy clustering
- information theoretic
- outlier detection
- monte carlo
- high dimensional data
- rough k means
- objective function