Package  Description 

de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain 
Clustering algorithms for uncertain data.

Class and Description 

CenterOfMassMetaClustering
Centerofmass meta clustering reduces uncertain objects to their center of
mass, then runs a vectororiented clustering algorithm on this data set.

CKMeans
Run kmeans on the centers of each uncertain object.

FDBSCAN
FDBSCAN is an adaption of DBSCAN for fuzzy (uncertain) objects.

FDBSCANNeighborPredicate
Densitybased Clustering of Applications with Noise and Fuzzy objects
(FDBSCAN) is an Algorithm to find sets in a fuzzy database that are
densityconnected with minimum probability.

FDBSCANNeighborPredicate.Instance
Instance of the neighbor predicate.

RepresentativeUncertainClustering
Representative clustering of uncertain data.

UKMeans
Uncertain KMeans clustering, using the average deviation from the center.

Copyright © 2019 ELKI Development Team. License information.