Package de.uni_mannheim.informatik.dws.winter.clustering

Defines clustering methods for the ClusteredVote conflict resolution function.

See: Description

Class Summary

Class	Description
CentreClusterer<T>	Implements the CENTER clustering algorithm, which finds star-shaped clusters in an undirected, weighted graph.
ConnectedComponentClusterer<T>	A Clusterer that returns the weakly connected components in the graph formed by the input data.
GraphBasedClusteringAlgorithm<T>	Super class for graph-based clustering algorithms
HierarchicalClusterer<T>	Hierarchical Clustering.
PartitioningWithPositiveAndNegativeEdges<T>	A partitioning clustering algorithm that considers positive and negative scores between the elements.

Enum Summary

Enum	Description
HierarchicalClusterer.LinkageMode

Package de.uni_mannheim.informatik.dws.winter.clustering Description

Defines clustering methods for the ClusteredVote conflict resolution function.