Uses of Class
de.lmu.ifi.dbs.elki.algorithm.result.AbstractResult

Packages that use AbstractResult

de.lmu.ifi.dbs.elki.algorithm.result	Package to collect result classes for the results of algorithms.
de.lmu.ifi.dbs.elki.algorithm.result.clustering	Package to collect result classes for the results of clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering	Package to collect result classes for the results of biclustering algorithms.

Uses of AbstractResult in de.lmu.ifi.dbs.elki.algorithm.result

Subclasses of AbstractResult in de.lmu.ifi.dbs.elki.algorithm.result

class	AprioriResult Stores a apriori result.
class	CorrelationAnalysisSolution<V extends RealVector<V,?>> A solution of correlation analysis is a matrix of equations describing the dependencies.
class	KNNDistanceOrderResult<O extends DatabaseObject,D extends Distance<D>>
class	PartitionResults<O extends DatabaseObject> A result for a partitioning algorithm providing a single result for a single partition.
class	PointerRepresentation<O extends DatabaseObject,D extends Distance<D>> Provides the result of the single link algorithm SLINK.

Uses of AbstractResult in de.lmu.ifi.dbs.elki.algorithm.result.clustering

Subclasses of AbstractResult in de.lmu.ifi.dbs.elki.algorithm.result.clustering

class	CASHResult TODO: comment
class	CLIQUEModel<V extends RealVector<V,?>> Represents a cluster model for a cluster in the CLIQUE algorithm.
class	ClusterOrder<O extends DatabaseObject,D extends Distance<D>> A class representing the cluster order of the OPTICS algorithm.
class	Clusters<O extends DatabaseObject> Provides a result of a clustering-algorithm that computes several clusters.
class	ClustersPlusNoise<O extends DatabaseObject> Provides a result of a clustering-algorithm that computes several clusters and remaining noise.
class	ClustersPlusNoisePlusCorrelationAnalysis<V extends RealVector<V,?>> Provides a result of a clustering-algorithm that computes several clusters and remaining noise and a correlation analysis for each cluster.
class	EMClusters<V extends RealVector<V,?>> // todo arthur comment
class	EMModel<V extends RealVector<V,?>> // todo arthur comment
class	HierarchicalAxesParallelCorrelationClusters<V extends RealVector<V,?>,D extends Distance<D>> Provides a result of a clustering algorithm that computes hierarchical axes parallel correlation clusters from a cluster order.
class	HierarchicalCASHClusters Provides a result of the CASH clustering algorithm that computes hierarchical correlation clusters in arbitrary subspaces.
class	HierarchicalClusters<C extends HierarchicalCluster<C>,O extends DatabaseObject> Provides a result of a clustering algorithm that computes hierarchical clusters.
class	HierarchicalCorrelationClusters<V extends RealVector<V,?>> Provides a result of a clustering algorithm that computes hierarchical correlation clusters in arbitrary subspaces.
class	PartitionClusteringResults<O extends DatabaseObject> A result for a partitioning clustering algorithm providing a single result for a single partition.
class	SubspaceClusterModel<V extends RealVector<V,?>> todo arthur comment

Uses of AbstractResult in de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering

Subclasses of AbstractResult in de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering

class

Biclustering<V extends RealVector<V,Double>> A Biclustering result holds a set of biclusters.