Geometric Clustering to Minimize the Sum of Cluster Sizes.
Vittorio BilòIoannis CaragiannisChristos KaklamanisPanagiotis KanellopoulosPublished in: ESA (2005)
Keyphrases
- clustering algorithm
- data clustering
- hierarchical clustering
- cluster analysis
- overlapping clusters
- clustering method
- clustering framework
- clustering approaches
- data points
- unsupervised clustering
- cluster membership
- intra cluster
- disjoint clusters
- clustering procedure
- cluster centers
- k means
- supervised clustering
- constrained clustering
- similar objects
- clustering result
- agglomerative hierarchical clustering
- overlapping clustering
- clustering quality
- model based clustering
- inter cluster
- data objects
- hierarchical clustering algorithm
- unsupervised learning
- clustering analysis
- fuzzy clustering
- cluster structure
- evolutionary clustering
- density based clustering algorithm
- instance level constraints
- cluster validation
- rough k means
- web sessions
- data sets
- validity measures
- clustering scheme
- cluster ensemble
- semi supervised clustering
- spectral clustering
- arbitrary shape
- subspace clustering
- cluster centroids
- dimensionality reduction
- cluster validity
- image segmentation
- clustering ensemble
- document clustering
- categorical data