CPAR-Cluster: a runtime system for heterogeneous clusters with mono and multiprocessor nodes.
Gisele da Silva CraveiroLiria Matsumoto SatoPublished in: CCGRID (2004)
Keyphrases
- clustering algorithm
- overlapping clusters
- hierarchical clustering
- inter cluster
- cluster analysis
- clustering framework
- data clustering
- disjoint clusters
- intra cluster
- constrained clustering
- clustering procedure
- unsupervised clustering
- subspace clustering
- cluster centers
- hierarchical agglomerative clustering
- agglomerative hierarchical clustering
- hierarchical clustering algorithm
- model based clustering
- data objects
- gene clusters
- nodes of a graph
- clustering quality
- clustering approaches
- fuzzy clustering
- subspace clusters
- cluster membership
- possibilistic clustering
- clustering method
- cluster structure
- proximity graph
- cluster validity
- neighborhood information
- clustering result
- arbitrary shape
- cluster validation
- oracle real application
- document clusters
- density based clustering
- data points
- clustering scheme
- k means
- multiprocessor systems
- directed graph
- density based clustering algorithm
- database machines
- similar objects
- shortest path
- validity measures
- meaningful clusters
- document clustering
- hierarchical structure
- homogeneous groups
- network structure
- hierarchical clustering algorithms
- spectral clustering
- fuzzy c means
- graph structure
- initial set
- shared memory multiprocessor
- normalized cut
- pairwise similarities