Clustering Likelihood Curves: Finding Deviations from Single Clusters.
Claudia HundertmarkFrank KlawonnPublished in: HAIS (2008)
Keyphrases
- clustering algorithm
- hierarchical clustering
- cluster analysis
- overlapping clusters
- data clustering
- data points
- k means
- incremental clustering
- graph clustering
- self organizing maps
- document clustering
- fuzzy clustering
- clustering method
- unsupervised clustering
- clustering scheme
- density based clustering
- clustering procedure
- hierarchical clustering algorithm
- inter cluster
- clustering result
- hierarchical agglomerative clustering
- clustering framework
- agglomerative hierarchical clustering
- spatial clustering
- density based clustering algorithm
- fuzzy k means
- validity measures
- kohonen self organizing maps
- unsupervised learning
- cluster structure
- cluster membership
- cluster centers
- clustering approaches
- model based clustering
- affinity propagation
- agglomerative clustering
- clustering quality
- intra cluster
- arbitrary shape
- similar objects
- subspace clustering
- disjoint clusters
- fuzzy clustering algorithm
- cluster validation
- fuzzy c means
- soft clustering
- semi supervised
- image segmentation
- spectral clustering
- categorical data
- constrained clustering