Uses of Class
de.lmu.ifi.dbs.elki.math.MeanVariance

Packages that use MeanVariance

Package	Description
de.lmu.ifi.dbs.elki.datasource.filter.normalization	Data normalization.
de.lmu.ifi.dbs.elki.evaluation.clustering	Evaluation of clustering results.
de.lmu.ifi.dbs.elki.math	Mathematical operations and utilities used throughout the framework.
de.lmu.ifi.dbs.elki.math.statistics.distribution	Standard distributions, with random generation functionalities.
de.lmu.ifi.dbs.elki.math.statistics.tests	Statistical tests.
de.lmu.ifi.dbs.elki.utilities.datastructures.histogram	Classes for computing histograms.

Uses of MeanVariance in de.lmu.ifi.dbs.elki.datasource.filter.normalization

Fields in de.lmu.ifi.dbs.elki.datasource.filter.normalization declared as MeanVariance

Modifier and Type	Field and Description
(package private) MeanVariance[]	AttributeWiseVarianceNormalization.mvs Temporary storage used during initialization.

Uses of MeanVariance in de.lmu.ifi.dbs.elki.evaluation.clustering

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

Modifier and Type	Method and Description
MeanVariance	ClusterContingencyTable.averageSymmetricGini() Compute the average Gini for each cluster (in both clusterings - symmetric).

Uses of MeanVariance in de.lmu.ifi.dbs.elki.math

Subclasses of MeanVariance in de.lmu.ifi.dbs.elki.math

Modifier and Type	Class and 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 de.lmu.ifi.dbs.elki.math that return MeanVariance

Modifier and Type	Method and Description
static MeanVariance[]	MeanVariance.newArray(int dimensionality) Create and initialize a new array of MeanVariance

Constructors in de.lmu.ifi.dbs.elki.math with parameters of type MeanVariance

Constructor and Description
MeanVariance(MeanVariance other) Constructor from other instance

Uses of MeanVariance in de.lmu.ifi.dbs.elki.math.statistics.distribution

Methods in de.lmu.ifi.dbs.elki.math.statistics.distribution with parameters of type MeanVariance

Modifier and Type	Method and Description
NormalDistribution	NormalDistribution.NaiveEstimator.estimate(MeanVariance mv) Estimate parameters from a
private GammaDistribution	GammaDistribution.NaiveEstimator.estimate(MeanVariance mv) Simple parameter estimation for Gamma distribution.
private LogGammaDistribution	LogGammaDistribution.NaiveEstimator.estimate(MeanVariance mv, double shift) Simple parameter estimation for Gamma distribution.

Uses of MeanVariance in de.lmu.ifi.dbs.elki.math.statistics.tests

Methods in de.lmu.ifi.dbs.elki.math.statistics.tests with parameters of type MeanVariance

Modifier and Type	Method and Description
static int	WelchTTest.calculateDOF(MeanVariance mv1, MeanVariance mv2) Calculates the degree of freedom according to Welch-Satterthwaite
static double	WelchTTest.calculateTestStatistic(MeanVariance mv1, MeanVariance mv2) Calculate the statistic of Welch's t test using statistical moments of the provided data samples

Uses of MeanVariance in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram

Fields in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram declared as MeanVariance

Modifier and Type	Field and Description
(package private) MeanVariance[]	MeanVarianceStaticHistogram.data Data store

Methods in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram that return MeanVariance

Modifier and Type	Method and Description
protected MeanVariance	MeanVarianceStaticHistogram.makeObject()

Methods in de.lmu.ifi.dbs.elki.utilities.datastructures.histogram with parameters of type MeanVariance

Modifier and Type	Method and Description
void	MeanVarianceStaticHistogram.putData(double coord, MeanVariance data) Aggregate new data into the histogram.