Uses of Class
elki.math.Mean

Packages that use Mean

Package	Description
elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
elki.math	Mathematical operations and utilities used throughout the framework.
elki.projection	Data projections (see also preprocessing filters for basic projections).

Uses of Mean in elki.index.preprocessed.knn

Fields in elki.index.preprocessed.knn declared as Mean

Modifier and Type	Field	Description
(package private) Mean	NaiveProjectedKNNPreprocessor.mean	Mean number of distance computations.
(package private) Mean	SpacefillingKNNPreprocessor.mean	Mean number of distance computations
(package private) Mean	SpacefillingMaterializeKNNPreprocessor.mean	Mean number of distance computations

Uses of Mean in elki.math

Subclasses of Mean in elki.math

Modifier and Type	Class	Description
class	MeanVariance	Do some simple statistics (mean, variance) using a numerically stable online algorithm.
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 Mean

Modifier and Type	Method	Description
static Mean[]	Mean.newArray(int dimensionality)	Create and initialize a new array of MeanVariance
Mean	Mean.put(double[] vals)	Add values with weight 1.0
Mean	Mean.put(double[] vals, double[] weights)	Add values with weight 1.0
Mean	Mean.reset()	Reset the value.

Methods in elki.math with parameters of type Mean

Modifier and Type	Method	Description
void	Mean.put(Mean other)	Join the data of another MeanVariance instance.
void	MeanVariance.put(Mean other)	Join the data of another MeanVariance instance.
void	MeanVarianceMinMax.put(Mean other)
void	StatisticalMoments.put(Mean other)	Join the data of another StatisticalMoments instance.

Constructors in elki.math with parameters of type Mean

Constructor	Description
Mean(Mean other)	Constructor from other instance

Uses of Mean in elki.projection

Methods in elki.projection with parameters of type Mean

Modifier and Type	Method	Description
protected void	IntrinsicNearestNeighborAffinityMatrixBuilder.convertNeighbors(DBIDRange ids, DBIDRef ix, boolean square, KNNList neighbours, DoubleArray dist, IntegerArray ind, Mean m)	Load a neighbor query result into a double and and integer array, also removing the query point.