On identifying clusters from sum-of-norms clustering computation.
Tao JiangStephen A. VavasisPublished in: CoRR (2020)
Keyphrases
- clustering algorithm
- hierarchical clustering
- overlapping clusters
- cluster analysis
- data clustering
- clustering scheme
- k means
- unsupervised clustering
- clustering method
- incremental clustering
- fuzzy clustering
- density based clustering algorithm
- clustering framework
- self organizing maps
- graph clustering
- fuzzy k means
- cluster membership
- arbitrary shape
- model based clustering
- clustering approaches
- disjoint clusters
- density based clustering
- inter cluster
- clustering quality
- fuzzy clustering algorithm
- clustering result
- constrained clustering
- document clustering
- agglomerative hierarchical clustering
- validity measures
- fuzzy c means
- hierarchical clustering algorithm
- data points
- clustering analysis
- spatial clustering
- cluster centers
- clustering procedure
- intra cluster
- cluster validation
- agglomerative clustering
- subspace clustering
- kohonen self organizing maps
- validity index
- meaningful clusters
- cluster validity index
- cluster structure
- similar objects
- outlier detection
- cluster labels
- cluster ensemble
- arbitrary shaped
- high dimensional datasets
- multiple data streams
- categorical data
- homogeneous groups
- spectral clustering
- validity indices
- affinity measure
- high dimensional
- classical clustering algorithms
- multi agent systems