Uses of Package
Packages that use elki.clustering.uncertain Package Description elki.clustering.uncertainClustering algorithms for uncertain data.
Classes in elki.clustering.uncertain used by elki.clustering.uncertain Class Description CenterOfMassMetaClusteringCenter-of-mass meta clustering reduces uncertain objects to their center of mass, then runs a vector-oriented clustering algorithm on this data set. CKMeansRun k-means on the centers of each uncertain object. FDBSCANFDBSCAN is an adaption of DBSCAN for fuzzy (uncertain) objects. FDBSCANNeighborPredicateDensity-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.InstanceInstance of the neighbor predicate. RepresentativeUncertainClusteringRepresentative clustering of uncertain data. UKMeansUncertain K-Means clustering, using the average deviation from the center.