Assessment of the parallelization approach of d2_cluster for high-performance sequence clustering.
John E. CarpenterAlan ChristoffelsYael WeinbachWinston A. HidePublished in: J. Comput. Chem. (2002)
Keyphrases
- clustering algorithm
- hierarchical clustering
- data clustering
- cluster analysis
- overlapping clusters
- k means
- clustering framework
- clustering procedure
- unsupervised clustering
- clustering method
- intra cluster
- clustering approaches
- inter cluster
- disjoint clusters
- cluster membership
- constrained clustering
- data points
- supervised clustering
- clustering scheme
- cluster centers
- spectral clustering
- clustering result
- clustering quality
- agglomerative hierarchical clustering
- cluster validation
- cluster validity
- clustering analysis
- model based clustering
- evolutionary clustering
- cluster structure
- validity measures
- homogeneous groups
- fuzzy clustering
- categorical data
- self organizing maps
- subspace clustering
- web sessions
- fine grained
- arbitrary shape
- coarse grained
- density based clustering
- hierarchical clustering algorithm
- document clustering
- similar objects
- unsupervised learning
- instance level constraints
- validity indices
- distributed memory
- web snippets
- data objects
- density based clustering algorithm
- microarray
- meaningful clusters
- outlier detection
- fuzzy c means
- cluster labels
- cluster centroids