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T

t - Variable in class elki.clustering.kmeans.YinYangKMeans.Par

Number of groups in the initial clustering of the centroids.

t - Variable in class elki.clustering.kmeans.YinYangKMeans

Number of cluster center groups t

T_ID - Static variable in class elki.clustering.kmeans.YinYangKMeans.Par

Parameter to specify t the number of centroid groups.

t1 - Variable in class elki.clustering.CanopyPreClustering

Threshold for inclusion

t2 - Variable in class elki.clustering.CanopyPreClustering

Threshold for removal

tau - Variable in class elki.clustering.correlation.ERiC.Settings

Parameter to specify the threshold for the maximum distance between two approximately linear dependent subspaces of two objects p and q (lambda_q < lambda_p) before considering them as parallel, must be a double equal to or greater than 0.

tau - Variable in class elki.clustering.em.KDTreeEM.Par

cutoff threshold

tau - Variable in class elki.clustering.em.KDTreeEM

tau, low for precise, high for fast results.

tau - Variable in class elki.clustering.subspace.CLIQUE.Par

Density threshold / selectivity.

tau - Variable in class elki.clustering.subspace.CLIQUE

Density threshold / selectivity.

TAU_CLASS_ID - Static variable in class elki.clustering.em.KDTreeEM.Par

drop one class if the maximum weight of a class in the bounding box is lower than tauClass * wmin_max, where wmin_max is the maximum minimum weight of all classes

TAU_ID - Static variable in class elki.clustering.correlation.ERiC.Par

Parameter to specify the threshold for the maximum distance between two approximately linear dependent subspaces of two objects p and q (lambda_q < lambda_p) before considering them as parallel, must be a double equal to or greater than 0.

TAU_ID - Static variable in class elki.clustering.em.KDTreeEM.Par

Parameter to specify the pruning criterion during the algorithm.

TAU_ID - Static variable in class elki.clustering.subspace.CLIQUE.Par

Parameter to specify the density threshold for the selectivity of a unit, where the selectivity is the fraction of total feature vectors contained in this unit, must be a double greater than 0 and less than 1.

tauclass - Variable in class elki.clustering.em.KDTreeEM.Par

cutoff safety threshold

tauClass - Variable in class elki.clustering.em.KDTreeEM

Drop one class if the maximum weight of a class in the bounding box is lower than tauClass * wmin_max, where wmin_max is the maximum minimum weight of all classes

tCriterium - Variable in class elki.index.tree.betula.CFTree.Factory.Par

Threshold heuristic strategy.

tCriterium - Variable in class elki.index.tree.betula.CFTree.Factory

Threshold heuristic strategy.

tCriterium - Variable in class elki.index.tree.betula.CFTree

Threshold heuristic strategy.

tds - Variable in class elki.clustering.hierarchical.HACAM.Instance

Total deviations (for minimum sum increase only)

TempCluster(int, double) - Constructor for class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.TempCluster

Constructor.

TempCluster(int, double, HDBSCANHierarchyExtraction.TempCluster, HDBSCANHierarchyExtraction.TempCluster) - Constructor for class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

Cluster containing two existing clusters.

TempCluster(int, double, DBIDRef) - Constructor for class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

Constructor.

temporary - Variable in class elki.clustering.dbscan.GriDBSCAN.Instance

Temporary assignments of a single run.

TextbookMultivariateGaussianModel - Class in elki.clustering.em.models

Numerically problematic implementation of the GMM model, using the textbook algorithm.

TextbookMultivariateGaussianModel(double, double[]) - Constructor for class elki.clustering.em.models.TextbookMultivariateGaussianModel

Constructor.

TextbookMultivariateGaussianModel(double, double[], double[][]) - Constructor for class elki.clustering.em.models.TextbookMultivariateGaussianModel

Constructor.

TextbookMultivariateGaussianModelFactory - Class in elki.clustering.em.models

Factory for EM with multivariate Gaussian model, using the textbook algorithm.

TextbookMultivariateGaussianModelFactory(KMeansInitialization) - Constructor for class elki.clustering.em.models.TextbookMultivariateGaussianModelFactory

Constructor.

TextbookSphericalGaussianModel - Class in elki.clustering.em.models

Simple spherical Gaussian cluster.

TextbookSphericalGaussianModel(double, double[]) - Constructor for class elki.clustering.em.models.TextbookSphericalGaussianModel

Constructor.

TextbookSphericalGaussianModel(double, double[], double) - Constructor for class elki.clustering.em.models.TextbookSphericalGaussianModel

Constructor.

TextbookSphericalGaussianModelFactory - Class in elki.clustering.em.models

Factory for EM with multivariate gaussian models using a single variance.

TextbookSphericalGaussianModelFactory(KMeansInitialization) - Constructor for class elki.clustering.em.models.TextbookSphericalGaussianModelFactory

Constructor.

threshold - Variable in class elki.clustering.correlation.LMCLUS.Par

Threshold

threshold - Variable in class elki.clustering.correlation.LMCLUS.Separation

Threshold

threshold - Variable in class elki.clustering.hierarchical.birch.CFTree.Factory.Par

Cluster merge threshold.

threshold - Variable in class elki.clustering.hierarchical.birch.CFTree.Factory

Cluster merge threshold.

threshold - Variable in class elki.clustering.hierarchical.extraction.CutDendrogramByHeight.Par

Threshold level.

threshold - Variable in class elki.clustering.hierarchical.extraction.CutDendrogramByHeight

Threshold for extracting clusters.

threshold - Variable in class elki.clustering.Leader

Maximum distance from leading object,

threshold - Variable in class elki.index.tree.betula.CFTree.Factory.Par

Cluster merge threshold.

threshold - Variable in class elki.index.tree.betula.CFTree.Factory

Cluster merge threshold.

Threshold() - Constructor for enum elki.index.tree.betula.CFTree.Threshold

THRESHOLD_ID - Static variable in class elki.clustering.correlation.LMCLUS.Par

Global significance threshold

THRESHOLD_ID - Static variable in class elki.clustering.hierarchical.birch.CFTree.Factory.Par

Distance threshold.

THRESHOLD_ID - Static variable in class elki.clustering.hierarchical.extraction.CutDendrogramByHeight.Par

The threshold level for which to extract the clustering.

THRESHOLD_ID - Static variable in class elki.index.tree.betula.CFTree.Factory.Par

Distance threshold.

thresholdsq - Variable in class elki.clustering.hierarchical.birch.CFTree

Squared maximum radius threshold of a clustering feature.

thresholdsq - Variable in class elki.index.tree.betula.CFTree

Squared maximum radius threshold of a clustering feature.

tmp - Variable in class elki.clustering.em.models.TextbookMultivariateGaussianModel

Temporary storage, to avoid reallocations.

tmp - Variable in class elki.clustering.em.models.TwoPassMultivariateGaussianModel

Temporary storage, to avoid reallocations.

tmpcomp - Variable in class elki.clustering.correlation.HiCO.Instance

Sort object by the temporary fields.

tmpCorrelation - Variable in class elki.clustering.correlation.HiCO.Instance

Temporary storage of correlation values.

tmpDistance - Variable in class elki.clustering.correlation.HiCO.Instance

Temporary storage of distances.

tmpIds - Variable in class elki.clustering.correlation.HiCO.Instance

Temporary ids.

toArray() - Method in class elki.index.tree.betula.features.BIRCHCF

toArray() - Method in class elki.index.tree.betula.features.VIIFeature

toArray() - Method in class elki.index.tree.betula.features.VVIFeature

toArray() - Method in class elki.index.tree.betula.features.VVVFeature

toCluster(SimplifiedHierarchyExtraction.TempCluster, Clustering<DendrogramModel>) - Method in class elki.clustering.hierarchical.extraction.SimplifiedHierarchyExtraction.Instance

Make the cluster for the given object

toplevelclusters - Variable in class elki.data.Clustering

Keep a list of top level clusters.

toString() - Method in class elki.clustering.dbscan.util.Border

toString() - Method in class elki.clustering.dbscan.util.Core

toString() - Method in class elki.clustering.dbscan.util.MultiBorder

toString() - Method in class elki.clustering.optics.OPTICSHeapEntry

Returns a string representation of the object.

toString() - Method in class elki.clustering.optics.OPTICSXi.SteepDownArea

toString() - Method in class elki.clustering.optics.OPTICSXi.SteepUpArea

toString() - Method in class elki.clustering.silhouette.FastMSC.Record

toString() - Method in class elki.clustering.subspace.clique.CLIQUESubspace

Calls the super method and adds additionally the coverage, and the dense units of this subspace.

toString() - Method in class elki.clustering.subspace.clique.CLIQUEUnit

Returns a string representation of this unit that contains the intervals of this unit.

toString() - Method in class elki.clustering.subspace.P3C.Signature

toString() - Method in class elki.clustering.subspace.PROCLUS.PROCLUSCluster

toString() - Method in class elki.data.Cluster

toString() - Method in class elki.data.model.ClusterModel

toString() - Method in class elki.data.model.CoreObjectsModel

toString() - Method in class elki.data.model.DendrogramModel

toString() - Method in class elki.data.model.EMModel

toString() - Method in class elki.data.model.OPTICSModel

toString() - Method in class elki.data.model.SimplePrototypeModel

toString() - Method in class elki.data.Subspace

toString() - Method in class elki.evaluation.clustering.ClusterContingencyTable

totalElements() - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

Total number of elements in this subtree.

totalObjects - Variable in class elki.evaluation.clustering.pairsegments.Segments

Total number of objects

totalStability() - Method in class elki.clustering.hierarchical.extraction.HDBSCANHierarchyExtraction.TempCluster

Excess of mass measure.

transfer(DBIDRef, NumberVector, int, int) - Method in class elki.clustering.kmeans.HartiganWongKMeans.Instance

Transfer a point from one cluster to another.

traversal(KDTreePruningKMeans.KDNode, int) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance

The tree traversal algorithm.

traverseLeaf(int, int, int) - Method in class elki.clustering.kmeans.KDTreePruningKMeans.Instance

Traversal of a leaf (assuming alive > 1)

TREAT_NOISE_AS_SINGLETONS - elki.evaluation.clustering.internal.NoiseHandling

Consider each noise point a separate cluster

trials - Variable in class elki.clustering.kmeans.BestOfMultipleKMeans

Number of trials to do.

triangleSize(int) - Static method in class elki.clustering.hierarchical.ClusterDistanceMatrix

Compute the size of a complete x by x triangle (minus diagonal)

triangleSize(int) - Static method in class elki.index.tree.betula.CFDistanceMatrix

Compute the size of a complete x by x triangle (minus diagonal)

TrivialAllInOne - Class in elki.clustering.trivial

Trivial pseudo-clustering that just considers all points to be one big cluster.

TrivialAllInOne() - Constructor for class elki.clustering.trivial.TrivialAllInOne

Constructor.

TrivialAllNoise - Class in elki.clustering.trivial

Trivial pseudo-clustering that just considers all points to be noise.

TrivialAllNoise() - Constructor for class elki.clustering.trivial.TrivialAllNoise

Constructor.

TwoPassMultivariateGaussianModel - Class in elki.clustering.em.models

Model for a single Gaussian cluster, using two-passes for slightly better numerics.

TwoPassMultivariateGaussianModel(double, double[]) - Constructor for class elki.clustering.em.models.TwoPassMultivariateGaussianModel

Constructor.

TwoPassMultivariateGaussianModel(double, double[], double[][]) - Constructor for class elki.clustering.em.models.TwoPassMultivariateGaussianModel

Constructor.

TwoPassMultivariateGaussianModelFactory - Class in elki.clustering.em.models

Factory for EM with multivariate Gaussian models (with covariance; also known as Gaussian Mixture Modeling, GMM).

TwoPassMultivariateGaussianModelFactory(KMeansInitialization) - Constructor for class elki.clustering.em.models.TwoPassMultivariateGaussianModelFactory

Constructor.

TYPE - Static variable in class elki.data.Clustering

Type information, for relation matching.

TYPE - Static variable in interface elki.data.model.Model

Type information, for relation selection.

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