Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-Separated Clusters.
Georgios VardakasIoannis PapakostasAristidis LikasPublished in: CoRR (2024)
Keyphrases
- clustering algorithm
- hierarchical clustering
- cluster analysis
- overlapping clusters
- data clustering
- clustering method
- clustering approaches
- clustering scheme
- document clustering
- clustering result
- unsupervised clustering
- clustering framework
- incremental clustering
- density based clustering algorithm
- k means
- self organizing maps
- fuzzy clustering
- graph clustering
- data points
- constrained clustering
- clustering procedure
- validity measures
- cluster centers
- inter cluster
- agglomerative clustering
- fuzzy k means
- agglomerative hierarchical clustering
- intra cluster
- similarity matrix
- model based clustering
- density based clustering
- hierarchical clustering algorithm
- bayesian information criterion
- soft clustering
- cluster membership
- disjoint clusters
- spatial clustering
- clustering quality
- validity index
- classical clustering algorithms
- dissimilarity matrix
- hierarchical agglomerative clustering
- outlier detection
- arbitrary shape
- affinity propagation
- cluster structure
- affinity measure
- search results clustering
- kohonen self organizing maps
- clusters of arbitrary shapes
- homogeneous groups
- cluster validity
- meaningful clusters
- similar objects
- subspace clustering
- multi view
- d objects
- fuzzy clustering algorithm
- categorical data
- unsupervised learning
- image segmentation