Traveling among clusters: a way to reconsider the benefits of the cluster hypothesis.
Sylvain LamprierTassadit AmgharFrédéric SaubionBernard LevratPublished in: SAC (2010)
Keyphrases
- clustering algorithm
- overlapping clusters
- inter cluster
- hierarchical clustering
- disjoint clusters
- cluster analysis
- data clustering
- intra cluster
- clustering framework
- subspace clustering
- data points
- gene clusters
- unsupervised clustering
- agglomerative hierarchical clustering
- cluster centers
- clustering result
- clustering quality
- clustering procedure
- hierarchical agglomerative clustering
- hierarchical clustering algorithm
- constrained clustering
- clustering scheme
- cluster structure
- cluster validation
- model based clustering
- cluster validity
- clustering approaches
- subspace clusters
- k means
- density based clustering
- meaningful clusters
- arbitrary shape
- oracle real application
- cluster membership
- document clusters
- clustering method
- hierarchical structure
- data objects
- fuzzy c means clustering algorithm
- validity measures
- dense regions
- homogeneous groups
- similar objects
- document clustering
- data sets
- input data
- density based clustering algorithm
- initial set
- hierarchical clustering algorithms
- possibilistic clustering
- pairwise
- high dimensional data
- semi supervised
- fuzzy clustering algorithm
- spectral clustering
- agglomerative clustering
- fuzzy c means
- clustering analysis
- similarity matrix
- cluster ensemble