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M

m - Variable in class elki.outlier.lof.INFLO

Pruning threshold m.

m - Variable in class elki.outlier.lof.INFLO.Par

M parameter

m - Variable in class elki.outlier.meta.HiCS

Monte-Carlo iterations.

m - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary

Holds the value of AggarwalYuEvolutionary.Par.M_ID.

m - Variable in class elki.outlier.subspace.AggarwalYuEvolutionary.Par

Population size.

M_ID - Static variable in class elki.outlier.lof.INFLO.Par

Parameter to specify if any object is a Core Object must be a double greater than 0.0

M_ID - Static variable in class elki.outlier.subspace.AggarwalYuEvolutionary.Par

Parameter to specify the number of solutions must be an integer greater than 1.

make() - Method in class elki.evaluation.outlier.ComputeOutlierHistogram.Par

make() - Method in class elki.evaluation.outlier.JudgeOutlierScores.Par

make() - Method in class elki.evaluation.outlier.OutlierPrecisionAtKCurve.Par

make() - Method in class elki.evaluation.outlier.OutlierPrecisionRecallCurve.Par

make() - Method in class elki.evaluation.outlier.OutlierPrecisionRecallGainCurve.Par

make() - Method in class elki.evaluation.outlier.OutlierRankingEvaluation.Par

make() - Method in class elki.evaluation.outlier.OutlierROCCurve.Par

make() - Method in class elki.evaluation.outlier.OutlierSmROCCurve.Par

make() - Method in class elki.outlier.anglebased.ABOD.Par

make() - Method in class elki.outlier.anglebased.FastABOD.Par

make() - Method in class elki.outlier.anglebased.LBABOD.Par

make() - Method in class elki.outlier.COP.Par

make() - Method in class elki.outlier.density.IsolationForest.Par

make() - Method in class elki.outlier.distance.DBOutlierDetection.Par

make() - Method in class elki.outlier.distance.DBOutlierScore.Par

make() - Method in class elki.outlier.distance.KNNDD.Par

make() - Method in class elki.outlier.distance.KNNOutlier.Par

make() - Method in class elki.outlier.distance.KNNWeightOutlier.Par

make() - Method in class elki.outlier.distance.LocalIsolationCoefficient.Par

make() - Method in class elki.outlier.distance.ReferenceBasedOutlierDetection.Par

make() - Method in class elki.outlier.GaussianModel.Par

make() - Method in class elki.outlier.GaussianUniformMixture.Par

make() - Method in class elki.outlier.intrinsic.IDOS.Par

make() - Method in class elki.outlier.intrinsic.LID.Par

make() - Method in class elki.outlier.lof.ALOCI.Par

make() - Method in class elki.outlier.lof.FlexibleLOF.Par

make() - Method in class elki.outlier.lof.INFLO.Par

make() - Method in class elki.outlier.lof.LDOF.Par

make() - Method in class elki.outlier.lof.OnlineLOF.Par

make() - Method in class elki.outlier.meta.ExternalDoubleOutlierScore.Par

make() - Method in class elki.outlier.meta.FeatureBagging.Par

make() - Method in class elki.outlier.meta.RescaleMetaOutlierAlgorithm.Par

make() - Method in class elki.outlier.meta.SimpleOutlierEnsemble.Par

make() - Method in class elki.outlier.spatial.neighborhood.ExtendedNeighborhood.Factory.Par

make() - Method in class elki.outlier.spatial.neighborhood.ExternalNeighborhood.Factory.Par

make() - Method in class elki.outlier.spatial.neighborhood.weighted.LinearWeightedExtendedNeighborhood.Factory.Par

make() - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.Par

make() - Method in class elki.outlier.subspace.AggarwalYuNaive.Par

make() - Method in class elki.outlier.subspace.OUTRES.Par

make() - Method in class elki.outlier.subspace.SOD.Par

make() - Method in class elki.outlier.trivial.ByLabelOutlier.Par

make() - Method in class elki.utilities.scaling.outlier.COPOutlierScaling.Par

make() - Method in class elki.utilities.scaling.outlier.MinusLogGammaScaling.Par

make() - Method in class elki.utilities.scaling.outlier.MinusLogStandardDeviationScaling.Par

make() - Method in class elki.utilities.scaling.outlier.OutlierGammaScaling.Par

make() - Method in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par

make() - Method in class elki.utilities.scaling.outlier.OutlierSqrtScaling.Par

make() - Method in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par

make() - Method in class elki.utilities.scaling.outlier.StandardDeviationScaling.Par

make() - Method in class elki.utilities.scaling.outlier.TopKOutlierScaling.Par

makeIndividuum(short[]) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

Make a new individuum helper, computing sparsity=fitness

map(DBIDRef) - Method in class elki.outlier.distance.parallel.KNNWeightProcessor.Instance

map(DBIDRef) - Method in class elki.outlier.lof.parallel.LOFProcessor.Instance

map(DBIDRef) - Method in class elki.outlier.lof.parallel.LRDProcessor.Instance

map(DBIDRef) - Method in class elki.outlier.lof.parallel.SimplifiedLRDProcessor.Instance

max - Variable in class elki.outlier.density.IsolationForest.ForestBuilder

Current value range

max - Variable in class elki.utilities.scaling.outlier.MinusLogGammaScaling

Maximum value seen

max - Variable in class elki.utilities.scaling.outlier.OutlierLinearScaling

Field storing the Maximum value

max - Variable in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par

Field storing the Maximum value

max - Variable in class elki.utilities.scaling.outlier.OutlierMinusLogScaling

Maximum value seen, set by OutlierMinusLogScaling.prepare(elki.result.outlier.OutlierResult)

max - Variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling

Minimum and maximum values.

max - Variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling.Par

Predefined maximum value.

max - Variable in class elki.utilities.scaling.outlier.TopKOutlierScaling

The maximum value

MAX_ID - Static variable in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par

Parameter to specify the maximum value.

MAX_ID - Static variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling.Par

Parameter to specify the fixed maximum to use.

MAX_ITER - Static variable in class elki.outlier.GaussianUniformMixture

Maximum number of iterations to do.

MAX_ITERATIONS - Static variable in class elki.outlier.subspace.AggarwalYuEvolutionary

Maximum iteration count for evolutionary search.

MAX_K_ID - Static variable in class elki.evaluation.outlier.OutlierPrecisionAtKCurve.Par

Maximum value for k

MAX_RETRIES - Static variable in class elki.outlier.meta.HiCS

Maximum number of retries.

maxDistLevel(DBID, int) - Method in class elki.outlier.distance.HilOut.HilbertFeatures

maxDist function calculate the maximal Distance from Vector p to the border of the corresponding r-region at the given level

maxheight - Variable in class elki.outlier.density.IsolationForest.ForestBuilder

Maximum height

maxk - Variable in class elki.evaluation.outlier.OutlierPrecisionAtKCurve

Maximum value for k

maxk - Variable in class elki.evaluation.outlier.OutlierPrecisionAtKCurve.Par

Maximum value for k

maxRegLevel(int, int) - Method in class elki.outlier.distance.HilOut.HilbertFeatures

Level of the maximum region containing ref but not q

mean - Variable in class elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling

Mean

mean - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

Effective parameters.

mean - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par

Pre-fixed minimum and mean.

mean - Variable in class elki.utilities.scaling.outlier.StandardDeviationScaling

Mean to use

MEAN_ID - Static variable in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par

Flag to use the mean as minimum for scaling.

MEAN_ID - Static variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par

Parameter to specify a fixed mean to use.

MEAN_ID - Static variable in class elki.utilities.scaling.outlier.StandardDeviationScaling.Par

Parameter to specify a fixed mean to use.

meta - Variable in class elki.result.outlier.OutlierResult

Outlier score meta information

meta - Variable in class elki.utilities.scaling.outlier.OutlierGammaScaling

Keep a reference to the outlier score meta, for normalization.

min - Variable in class elki.outlier.density.IsolationForest.ForestBuilder

Current value range

min - Variable in class elki.outlier.distance.HilOut.HilbertFeatures

Data space minimums

min - Variable in class elki.outlier.lof.ALOCI.ALOCIQuadTree

Tree parameters

min - Variable in class elki.utilities.scaling.outlier.OutlierLinearScaling

Field storing the Minimum to use

min - Variable in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par

Field storing the Minimum to use

min - Variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling

Minimum and maximum values.

min - Variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling.Par

Predefined minimum value.

min - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling

Effective parameters.

min - Variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par

Pre-fixed minimum and mean.

MIN_ID - Static variable in class elki.utilities.scaling.outlier.OutlierLinearScaling.Par

Parameter to specify a fixed minimum to use.

MIN_ID - Static variable in class elki.utilities.scaling.outlier.OutlierSqrtScaling.Par

Parameter to specify the fixed minimum to use.

MIN_ID - Static variable in class elki.utilities.scaling.outlier.SqrtStandardDeviationScaling.Par

Parameter to specify the fixed minimum to use.

minBandwidth - Variable in class elki.outlier.lof.KDEOS

Kernel minimum bandwidth.

minDistLevel(DBID, int) - Method in class elki.outlier.distance.HilOut.HilbertFeatures

minDist function calculate the minimal Distance from Vector p to the border of the corresponding r-region at the given level

minRegLevel(int, int) - Method in class elki.outlier.distance.HilOut.HilbertFeatures

minReg function calculate the minimal r-region level containing two points

minSplit - Variable in class elki.outlier.density.HySortOD.TreeStrategy

Minimum number of rows to allow sub-mapping.

MinusLogGammaScaling - Class in elki.utilities.scaling.outlier

Scaling that can map arbitrary values to a probability in the range of [0:1], by assuming a Gamma distribution on the data and evaluating the Gamma CDF.

MinusLogGammaScaling() - Constructor for class elki.utilities.scaling.outlier.MinusLogGammaScaling

Constructor.

MinusLogGammaScaling.Par - Class in elki.utilities.scaling.outlier

Parameterization class.

MinusLogStandardDeviationScaling - Class in elki.utilities.scaling.outlier

Scaling that can map arbitrary values to a probability in the range of [0:1].

MinusLogStandardDeviationScaling(double, double) - Constructor for class elki.utilities.scaling.outlier.MinusLogStandardDeviationScaling

Constructor.

MinusLogStandardDeviationScaling.Par - Class in elki.utilities.scaling.outlier

Parameterization class.

MixtureModelOutlierScaling - Class in elki.utilities.scaling.outlier

Tries to fit a mixture model (exponential for inliers and gaussian for outliers) to the outlier score distribution.

MixtureModelOutlierScaling() - Constructor for class elki.utilities.scaling.outlier.MixtureModelOutlierScaling

mlogmax - Variable in class elki.utilities.scaling.outlier.MinusLogGammaScaling

Minimum value (after log step, so maximum again)

mlogmax - Variable in class elki.utilities.scaling.outlier.OutlierMinusLogScaling

Maximum -log value seen, set by OutlierMinusLogScaling.prepare(elki.result.outlier.OutlierResult)

models - Variable in class elki.outlier.COP

Include models in output.

models - Variable in class elki.outlier.COP.Par

Include COP models

models - Variable in class elki.outlier.subspace.SOD

Report models.

models - Variable in class elki.outlier.subspace.SOD.Par

Track models.

MODELS_ID - Static variable in class elki.outlier.COP.Par

Include COP error vectors in output.

MODELS_ID - Static variable in class elki.outlier.subspace.SOD.Par

Parameter for keeping the models.

MStepLevenbergMarquardt(double, double, long[], A, NumberArrayAdapter<?, A>) - Method in class elki.utilities.scaling.outlier.SigmoidOutlierScaling

M-Step using a modified Levenberg-Marquardt method.

MStepLevenbergMarquardt(double, double, ArrayDBIDs, long[], DoubleRelation) - Method in class elki.utilities.scaling.outlier.SigmoidOutlierScaling

M-Step using a modified Levenberg-Marquardt method.

mu - Variable in class elki.utilities.scaling.outlier.MixtureModelOutlierScaling

Parameter mu of the gaussian distribution (outliers)

MultiplicativeInverseScaling - Class in elki.utilities.scaling.outlier

Scaling function to invert values by computing 1/x, but in a variation that maps the values to the [0:1] interval and avoiding division by 0.

MultiplicativeInverseScaling() - Constructor for class elki.utilities.scaling.outlier.MultiplicativeInverseScaling

Constructor.

mutation(ArrayList<AggarwalYuEvolutionary.Individuum>, double, double) - Method in class elki.outlier.subspace.AggarwalYuEvolutionary.EvolutionarySearch

Apply the mutation algorithm.

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