On Controlling the Size of Clusters in Probabilistic Clustering.
Aditya JittaArto KlamiPublished in: AAAI (2018)
Keyphrases
- clustering algorithm
- hierarchical clustering
- overlapping clusters
- cluster analysis
- data clustering
- k means
- clustering scheme
- clustering method
- fuzzy clustering
- data points
- hierarchical clustering algorithm
- unsupervised clustering
- document clustering
- clustering framework
- self organizing maps
- incremental clustering
- clustering approaches
- clustering result
- graph clustering
- arbitrary shape
- cluster validation
- cluster membership
- grid cells
- density based clustering algorithm
- cluster centers
- density based clustering
- fuzzy clustering algorithm
- model based clustering
- agglomerative hierarchical clustering
- clustering procedure
- inter cluster
- clustering quality
- fuzzy k means
- intra cluster
- spectral clustering
- validity measures
- hierarchical agglomerative clustering
- soft clustering
- classical clustering algorithms
- bayesian networks
- constrained clustering
- generative model
- unsupervised learning
- categorical data
- affinity propagation
- disjoint clusters
- validity indices
- homogeneous groups
- information theoretic
- uncertain data
- similarity matrix
- high dimensional datasets
- clustering ensemble
- data objects
- outlier detection
- similar objects
- cluster labels
- validity index
- cluster structure
- probabilistic model
- agglomerative clustering