Cluster Flow - an Advanced Concept for Ensemble-Enabling, Interactive Clustering.
Sandra ObermeierAnna BeerFlorian WahlThomas SeidlPublished in: BTW (2021)
Keyphrases
- clustering algorithm
- data clustering
- hierarchical clustering
- overlapping clusters
- cluster ensemble
- k means
- clustering method
- cluster analysis
- cluster membership
- clustering scheme
- data points
- unsupervised clustering
- disjoint clusters
- validity measures
- consensus clustering
- supervised clustering
- clustering framework
- clustering ensemble
- cluster centers
- agglomerative hierarchical clustering
- clustering result
- inter cluster
- clustering quality
- intra cluster
- constrained clustering
- instance level constraints
- clustering procedure
- clustering solutions
- density based clustering
- neural network
- hierarchical clustering algorithm
- cluster validation
- density based clustering algorithm
- clustering analysis
- random forest
- clustering approaches
- spectral clustering
- unsupervised learning
- ensemble methods
- model based clustering
- cluster validity
- neighborhood information
- subspace clustering
- categorical data
- ensemble learning
- cluster structure
- evolutionary clustering
- learning algorithm
- hierarchical agglomerative clustering
- rough k means
- arbitrary shape
- feature selection
- homogeneous groups
- self organizing maps
- web sessions
- user interaction
- data sets
- data streams
- semi supervised clustering
- similarity matrix
- combining multiple
- data objects