Cluster Stability and the Use of Noise in Interpretation of Clustering.
George S. DavidsonBrian N. WylieKevin W. BoyackPublished in: INFOVIS (2001)
Keyphrases
- clustering algorithm
- hierarchical clustering
- arbitrary shape
- data clustering
- overlapping clusters
- cluster validation
- cluster analysis
- clustering method
- clustering quality
- k means
- inter cluster
- clustering approaches
- clustering framework
- intra cluster
- cluster centers
- cluster validity
- constrained clustering
- hierarchical clustering algorithm
- instance level constraints
- clustering scheme
- cluster membership
- data points
- clustering procedure
- supervised clustering
- similar objects
- clustering result
- validity measures
- disjoint clusters
- unsupervised clustering
- density based clustering algorithm
- agglomerative hierarchical clustering
- rough k means
- high level
- overlapping clustering
- evolutionary clustering
- spectral clustering
- cluster structure
- fuzzy c means
- fuzzy clustering
- noisy data
- noise level
- semi supervised clustering
- data objects
- model based clustering
- self organizing maps
- unsupervised learning
- density based clustering
- categorical data
- neural network
- data sets
- normalized cut
- clustering analysis
- missing data
- clustering solutions