Uses of Interface
de.lmu.ifi.dbs.elki.algorithm.result.Result

Packages that use Result

de.lmu.ifi.dbs.elki	The base-package of the ELKI framework.
de.lmu.ifi.dbs.elki.algorithm	Package to collect algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering	Package collects clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering	Package to collect biclustering algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Package to collect correlation clustering algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Package to collect algorithms for clustering in axis-parallel subspaces, suitable as a task for the KDDTask main routine.
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 Result in de.lmu.ifi.dbs.elki

Methods in de.lmu.ifi.dbs.elki that return Result

Result<O>

KDDTask.run() Method to run the specified algorithm using the specified database connection.

Uses of Result in de.lmu.ifi.dbs.elki.algorithm

Methods in de.lmu.ifi.dbs.elki.algorithm that return Result

Result<O>	KNNDistanceOrder.getResult()
Result<O>	Algorithm.getResult() Returns the result of the algorithm.
Result<V>	KNNJoin.getResult() Returns the result of the algorithm.

Uses of Result in de.lmu.ifi.dbs.elki.algorithm.clustering

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as Result

protected Result<O>

SLINK.result Provides the result of the algorithm.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering that return Result

Result<O>	OPTICS.getResult()
Result<O>	DeLiClu.getResult()
Result<O>	SLINK.getResult() Returns the result of the algorithm.

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

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering that return Result

Result<V>

AbstractBiclustering.getResult()

Uses of Result in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation that return Result

Result<ParameterizationFunction>	CASH.getResult() Returns the result of the algorithm.
Result<V>	ERiC.getResult() Returns the result of the algorithm.
Result<V>	COPAA.getResult()

Uses of Result in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace declared as Result

private Result<V>

DiSH.result Holds the result;

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace that return Result

Result<V>

DiSH.getResult() Returns the result of the algorithm.

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

Classes in de.lmu.ifi.dbs.elki.algorithm.result that implement Result

class	AbstractResult<O extends DatabaseObject> Abstract super class for a result object.
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	KNNJoinResult<O extends DatabaseObject,D extends Distance<D>> Provides the result of a kNN-Join.
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.

Fields in de.lmu.ifi.dbs.elki.algorithm.result with type parameters of type Result

private Map<Integer,Result<O>>

PartitionResults.partitionResults Holds the results for the partitions.

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.result with type arguments of type Result

PartitionResults(Database<O> db, Map<Integer,Result<O>> resultMap)
A result for a partitioning algorithm providing a single result for a single partition.

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

Subinterfaces of Result in de.lmu.ifi.dbs.elki.algorithm.result.clustering

interface

ClusteringResult<O extends DatabaseObject> A Result that provides a set of disjunct clusters and a mapping from classlabels (supposedly assigned by the algorithm) to databases.

Classes in de.lmu.ifi.dbs.elki.algorithm.result.clustering that implement Result

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

Fields in de.lmu.ifi.dbs.elki.algorithm.result.clustering declared as Result

private Result<O>

Cluster.model

Fields in de.lmu.ifi.dbs.elki.algorithm.result.clustering with type parameters of type Result

protected Map<Integer,Result<O>>	Clusters.clusterToModel todo comment
protected Map<Integer,Result<O>>	ClustersPlusNoise.clusterToModel todo comment

Methods in de.lmu.ifi.dbs.elki.algorithm.result.clustering that return Result

Result<O>

Cluster.getModel()

Methods in de.lmu.ifi.dbs.elki.algorithm.result.clustering with parameters of type Result

<L extends ClassLabel<L>> void	PartitionClusteringResults.appendModel(L clusterID, Result<O> model)
<L extends ClassLabel<L>> void	Clusters.appendModel(L clusterID, Result<O> model)
<L extends ClassLabel<L>> void	ClustersPlusNoise.appendModel(L clusterID, Result<O> model)
<L extends ClassLabel<L>> void	ClusteringResult.appendModel(L clusterID, Result<O> model) Appends a model the designated cluster.
void	Cluster.setModel(Result<O> model)

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

Classes in de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering that implement Result

class

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

Fields in de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering declared as Result

private Result<V>

Bicluster.model The underlying bicluster model.

Methods in de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering that return Result

Result<V>

Bicluster.model() Returns the model associated with this bicluster.

Methods in de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering with parameters of type Result

void	Bicluster.appendModel(Result<V> model) Associates the given model with this bicluster.