Multiobjective Differential Crisp Clustering for Evaluation of Clusters Dynamically.
Indrajit SahaUjjwal MaulikDariusz PlewczynskiPublished in: ICMMI (2011)
Keyphrases
- multi objective
- clustering algorithm
- hierarchical clustering
- overlapping clusters
- clustering method
- cluster analysis
- document clustering
- unsupervised clustering
- k means
- validity measures
- data clustering
- clustering scheme
- density based clustering
- graph clustering
- clustering framework
- multiobjective optimization
- density based clustering algorithm
- clustering approaches
- fuzzy clustering
- incremental clustering
- evolutionary algorithm
- data points
- optimization algorithm
- intra cluster
- clustering quality
- constrained clustering
- clustering result
- cluster structure
- hierarchical clustering algorithm
- fuzzy k means
- cluster membership
- model based clustering
- clustering procedure
- data objects
- self organizing maps
- agglomerative hierarchical clustering
- fuzzy clustering algorithms
- clustering analysis
- cluster centers
- fuzzy sets
- spatial clustering
- disjoint clusters
- spectral clustering
- fuzzy logic
- hierarchical agglomerative clustering
- multiobjective evolutionary algorithm
- classical clustering algorithms
- homogeneous groups
- objective function
- artificial bee colony
- cluster ensemble
- similar objects
- neural network
- similarity matrix
- fuzzy numbers
- multi objective optimization
- fuzzy c means