Generating clusters of similar sizes by constrained balanced clustering.
Yuming LinHaibo TangYou LiChuangxin FangZejun XuYa ZhouAoying ZhouPublished in: Appl. Intell. (2022)
Keyphrases
- clustering algorithm
- cluster analysis
- homogeneous groups
- overlapping clusters
- hierarchical clustering
- similar objects
- data clustering
- clustering scheme
- self organizing maps
- clustering framework
- fuzzy clustering
- k means
- incremental clustering
- intra cluster
- graph clustering
- document clustering
- agglomerative hierarchical clustering
- clustering method
- clustering approaches
- unsupervised clustering
- cluster validity
- hierarchical clustering algorithm
- highly similar
- inter cluster
- constrained clustering
- clustering result
- clustering procedure
- fuzzy clustering algorithm
- model based clustering
- soft clustering
- spatial clustering
- data points
- disjoint clusters
- clustering quality
- density based clustering
- density based clustering algorithm
- cluster structure
- cluster validation
- validity measures
- validity index
- fuzzy k means
- cluster membership
- kohonen self organizing maps
- arbitrary shape
- agglomerative clustering
- cluster centers
- clustering ensemble
- data objects
- clustering analysis
- classical clustering algorithms
- cluster ensemble
- subspace clustering
- fuzzy c means
- arbitrary shaped
- hierarchical agglomerative clustering
- cluster labels
- dissimilarity matrix
- affinity propagation
- meaningful clusters
- validity indices
- instance level constraints
- affinity measure
- similarity matrix