Uses of Class
elki.math.MeanVariance
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Packages that use MeanVariance Package Description elki.application.benchmark Benchmarking pseudo algorithms.elki.clustering.dbscan.predicates Neighbor and core predicated for Generalized DBSCAN.elki.datasource.filter.normalization.columnwise Normalizations operating on columns / variates; where each column is treated independently.elki.evaluation.clustering Evaluation of clustering results.elki.math Mathematical operations and utilities used throughout the framework.elki.math.statistics.distribution.estimator Estimators for statistical distributions.elki.outlier.anglebased Angle-based outlier detection algorithms. -
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Uses of MeanVariance in elki.application.benchmark
Methods in elki.application.benchmark with parameters of type MeanVariance Modifier and Type Method Description protected int
RangeQueryBenchmark. processResult(DoubleDBIDList rres, MeanVariance mv)
Method to test a result.private int
KNNBenchmark. run(KNNSearcher<DBIDRef> knnQuery, Relation<O> relation, Duration dur, MeanVariance mv, MeanVariance mvdist)
Run with the database as query sourceprivate int
KNNBenchmark. run(KNNSearcher<O> knnQuery, Duration dur, MeanVariance mv, MeanVariance mvdist)
Run using a second database as query sourceprivate int
PrioritySearchBenchmark. run(PrioritySearcher<DBIDRef> priQuery, Relation<O> relation, Duration dur, MeanVariance mv, MeanVariance mvdist)
Run with the database as query sourceprivate int
PrioritySearchBenchmark. run(PrioritySearcher<O> priQuery, Duration dur, MeanVariance mv, MeanVariance mvdist)
Run using a second database as query sourceprotected int
RangeQueryBenchmark. run(RangeSearcher<DBIDRef> rangeQuery, Relation<O> relation, double radius, Duration dur, MeanVariance mv)
Run the algorithm, with constant radiusprotected int
RangeQueryBenchmark. run(RangeSearcher<DBIDRef> rangeQuery, Relation<O> relation, Relation<NumberVector> radrel, Duration dur, MeanVariance mv)
Run the algorithm, with separate radius relationprotected int
RangeQueryBenchmark. run(RangeSearcher<O> rangeQuery, Relation<O> relation, DatabaseConnection queries, Duration dur, MeanVariance mv)
Run the algorithm, with a separate query set. -
Uses of MeanVariance in elki.clustering.dbscan.predicates
Fields in elki.clustering.dbscan.predicates declared as MeanVariance Modifier and Type Field Description private MeanVariance
FourCNeighborPredicate. mvCorDim
Tool to help with parameterization.private MeanVariance
FourCNeighborPredicate. mvSize
Tool to help with parameterization.private MeanVariance
PreDeConNeighborPredicate. mvSize
Tool to help with parameterization.private MeanVariance
FourCNeighborPredicate. mvSize2
Tool to help with parameterization.private MeanVariance
PreDeConNeighborPredicate. mvVar
Tool to help with parameterization. -
Uses of MeanVariance in elki.datasource.filter.normalization.columnwise
Fields in elki.datasource.filter.normalization.columnwise declared as MeanVariance Modifier and Type Field Description (package private) MeanVariance[]
AttributeWiseVarianceNormalization. mvs
Temporary storage used during initialization. -
Uses of MeanVariance in elki.evaluation.clustering
Methods in elki.evaluation.clustering that return MeanVariance Modifier and Type Method Description MeanVariance
ClusterContingencyTable. adjustedSymmetricGini()
Compute the adjusted average Gini for each cluster (in both clusterings - symmetric).MeanVariance
ClusterContingencyTable. averageSymmetricGini()
Compute the average Gini for each cluster (in both clusterings - symmetric). -
Uses of MeanVariance in elki.math
Subclasses of MeanVariance in elki.math Modifier and Type Class Description class
MeanVarianceMinMax
Class collecting mean, variance, minimum and maximum statistics.class
StatisticalMoments
Track various statistical moments, including mean, variance, skewness and kurtosis.Methods in elki.math that return MeanVariance Modifier and Type Method Description static MeanVariance[]
MeanVariance. newArray(int dimensionality)
Create and initialize a new array of MeanVariance.static MeanVariance[]
MeanVariance. of(Relation<? extends NumberVector> relation)
Compute the variances of a relation.MeanVariance
MeanVariance. put(double[] vals)
Add values with weight 1.0MeanVariance
MeanVariance. put(double[] vals, double[] weights)
MeanVariance
MeanVarianceMinMax. put(double[] vals, double[] weights)
MeanVariance
MeanVariance. reset()
Constructors in elki.math with parameters of type MeanVariance Constructor Description MeanVariance(MeanVariance other)
Constructor from other instance -
Uses of MeanVariance in elki.math.statistics.distribution.estimator
Methods in elki.math.statistics.distribution.estimator with parameters of type MeanVariance Modifier and Type Method Description ExpGammaDistribution
ExpGammaExpMOMEstimator. estimateFromExpMeanVariance(MeanVariance mv)
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LogMeanVarianceEstimator. estimateFromLogMeanVariance(MeanVariance mv, double shift)
Estimate the distribution from mean and variance.LogNormalDistribution
LogNormalLogMOMEstimator. estimateFromLogMeanVariance(MeanVariance mv, double shift)
ExponentialDistribution
ExponentialMOMEstimator. estimateFromMeanVariance(MeanVariance mv)
GammaDistribution
GammaMOMEstimator. estimateFromMeanVariance(MeanVariance mv)
InverseGaussianDistribution
InverseGaussianMOMEstimator. estimateFromMeanVariance(MeanVariance mv)
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MeanVarianceDistributionEstimator. estimateFromMeanVariance(MeanVariance mv)
Estimate the distribution from mean and variance.NormalDistribution
NormalMOMEstimator. estimateFromMeanVariance(MeanVariance mv)
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Uses of MeanVariance in elki.outlier.anglebased
Methods in elki.outlier.anglebased with parameters of type MeanVariance Modifier and Type Method Description protected double
ABOD. computeABOF(KernelMatrix kernelMatrix, DBIDRef pA, DBIDArrayIter pB, DBIDArrayIter pC, MeanVariance s)
Compute the exact ABOF value.
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