Uses of Package
elki.clustering.uncertain

Packages that use elki.clustering.uncertain

Package	Description
elki.clustering.uncertain	Clustering algorithms for uncertain data.

Classes in elki.clustering.uncertain used by elki.clustering.uncertain

Class	Description
CenterOfMassMetaClustering	Center-of-mass meta clustering reduces uncertain objects to their center of mass, then runs a vector-oriented clustering algorithm on this data set.
CKMeans	Run k-means on the centers of each uncertain object.
FDBSCAN	FDBSCAN is an adaption of DBSCAN for fuzzy (uncertain) objects.
FDBSCANNeighborPredicate	Density-based Clustering of Applications with Noise and Fuzzy objects (FDBSCAN) is an Algorithm to find sets in a fuzzy database that are density-connected with minimum probability.
FDBSCANNeighborPredicate.Instance	Instance of the neighbor predicate.
RepresentativeUncertainClustering	Representative clustering of uncertain data.
UKMeans	Uncertain K-Means clustering, using the average deviation from the center.