Using Multiple Clustering Algorithms to Generate Constraint Rules and Create Consensus Clusters.
Gabriel Rodrigues da SilvaMarcelo Keese AlbertiniPublished in: BRACIS (2017)
Keyphrases
- clustering algorithm
- overlapping clusters
- cluster analysis
- data clustering
- hierarchical clustering
- automatically generate
- k means
- clustering ensemble
- incremental clustering
- density based clustering
- consensus clustering
- fuzzy c means
- association rules
- meaningful clusters
- arbitrary shape
- clustering framework
- document clustering
- association rule mining
- hierarchical clustering algorithm
- fuzzy clustering
- hierarchical clustering algorithms
- agglomerative hierarchical clustering
- graph clustering
- simultaneous clustering
- model based clustering
- clustering scheme
- clustering procedure
- hierarchical agglomerative clustering
- data mining
- spatial clustering
- cluster ensemble
- clustering approaches
- unsupervised clustering
- clustering analysis
- combining multiple
- subspace clustering
- self organizing maps
- data points