AClAP, Autonomous hierarchical agglomerative Cluster Analysis based protocol to partition conformational datasets.
Giovanni BottegoniWalter RocchiaMaurizio RecanatiniAndrea CavalliPublished in: ISMB (Supplement of Bioinformatics) (2006)
Keyphrases
- cluster analysis
- hierarchical agglomerative
- clustering method
- clustering algorithm
- k means
- clustering approaches
- categorical data
- hierarchical agglomerative clustering
- data clustering
- clustering ensemble
- factor analysis
- hierarchical clustering
- microarray data
- hierarchical latent class models
- fuzzy c means
- fuzzy clustering
- cluster validity
- spectral clustering
- document clustering
- unsupervised learning
- data mining
- clustering analysis
- data mining techniques
- decision trees
- probabilistic model
- data analysis
- subspace clustering
- graph partitioning
- training data
- similarity measure
- databases
- data sets