Uses of Class
de.lmu.ifi.dbs.elki.evaluation.clustering.internal.NoiseHandling

Packages that use NoiseHandling

Package	Description
de.lmu.ifi.dbs.elki.algorithm.outlier.clustering	Clustering based outlier detection.
de.lmu.ifi.dbs.elki.evaluation.clustering.internal	Internal evaluation measures for clusterings.

Uses of NoiseHandling in de.lmu.ifi.dbs.elki.algorithm.outlier.clustering

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

Modifier and Type	Field and Description
private NoiseHandling	SilhouetteOutlierDetection.noiseOption Option for noise handling.
private NoiseHandling	SilhouetteOutlierDetection.Parameterizer.noiseOption Noise handling

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier.clustering with parameters of type NoiseHandling

Constructor and Description
SilhouetteOutlierDetection(DistanceFunction<? super O> distanceFunction, ClusteringAlgorithm<?> clusterer, NoiseHandling noiseOption) Constructor.

Uses of NoiseHandling in de.lmu.ifi.dbs.elki.evaluation.clustering.internal

Fields in de.lmu.ifi.dbs.elki.evaluation.clustering.internal declared as NoiseHandling

Modifier and Type	Field and Description
private NoiseHandling	EvaluatePBMIndex.noiseHandling Option for noise handling.
private NoiseHandling	EvaluatePBMIndex.Parameterizer.noiseHandling Option, how noise should be treated.
private NoiseHandling	EvaluateConcordantPairs.noiseHandling Option for noise handling.
private NoiseHandling	EvaluateConcordantPairs.Parameterizer.noiseHandling Option, how noise should be treated.
private NoiseHandling	EvaluateVarianceRatioCriteria.noiseOption Option for noise handling.
private NoiseHandling	EvaluateVarianceRatioCriteria.Parameterizer.noiseOption Option, how noise should be treated.
private NoiseHandling	EvaluateSquaredErrors.noiseOption Handling of Noise clusters
private NoiseHandling	EvaluateSquaredErrors.Parameterizer.noiseOption Handling of noise clusters.
private NoiseHandling	EvaluateSimplifiedSilhouette.noiseOption Option for noise handling.
private NoiseHandling	EvaluateSimplifiedSilhouette.Parameterizer.noiseOption Option, how noise should be treated.
private NoiseHandling	EvaluateSilhouette.noiseOption Option for noise handling.
private NoiseHandling	EvaluateSilhouette.Parameterizer.noiseOption Noise handling
private NoiseHandling	EvaluateDaviesBouldin.noiseOption Option for noise handling.
private NoiseHandling	EvaluateDaviesBouldin.Parameterizer.noiseOption Option, how noise should be treated.
private NoiseHandling	EvaluateCIndex.noiseOption Option for noise handling.
private NoiseHandling	EvaluateCIndex.Parameterizer.noiseOption Option, how noise should be treated.

Methods in de.lmu.ifi.dbs.elki.evaluation.clustering.internal that return NoiseHandling

Modifier and Type	Method and Description
static NoiseHandling	NoiseHandling.valueOf(String name) Returns the enum constant of this type with the specified name.
static NoiseHandling[]	NoiseHandling.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in de.lmu.ifi.dbs.elki.evaluation.clustering.internal with parameters of type NoiseHandling

Modifier and Type	Method and Description
static int	EvaluateSimplifiedSilhouette.centroids(Relation<? extends NumberVector> rel, List<? extends Cluster<?>> clusters, NumberVector[] centroids, NoiseHandling noiseOption) Compute centroids.
static int	EvaluateVarianceRatioCriteria.globalCentroid(Centroid overallCentroid, Relation<? extends NumberVector> rel, List<? extends Cluster<?>> clusters, NumberVector[] centroids, NoiseHandling noiseOption) Update the global centroid.

Constructors in de.lmu.ifi.dbs.elki.evaluation.clustering.internal with parameters of type NoiseHandling

Constructor and Description
EvaluateCIndex(DistanceFunction<? super O> distance, NoiseHandling noiseOpt) Constructor.
EvaluateConcordantPairs(PrimitiveDistanceFunction<? super NumberVector> distance, NoiseHandling noiseHandling) Constructor.
EvaluateDaviesBouldin(NumberVectorDistanceFunction<?> distance, NoiseHandling noiseOpt) Constructor.
EvaluatePBMIndex(NumberVectorDistanceFunction<?> distance, NoiseHandling noiseOpt) Constructor.
EvaluateSilhouette(DistanceFunction<? super O> distance, NoiseHandling noiseOption, boolean penalize) Constructor.
EvaluateSimplifiedSilhouette(NumberVectorDistanceFunction<?> distance, NoiseHandling noiseOpt, boolean penalize) Constructor.
EvaluateSquaredErrors(NumberVectorDistanceFunction<?> distance, NoiseHandling noiseOption) Constructor.
EvaluateVarianceRatioCriteria(NoiseHandling noiseOption, boolean penalize) Constructor.