Uses of Interface
de.lmu.ifi.dbs.elki.math.statistics.KernelDensityFunction

Packages that use KernelDensityFunction

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.lof	LOF family of outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace	Subspace outlier detection methods.
de.lmu.ifi.dbs.elki.math.statistics	Statistical tests and methods.

Uses of KernelDensityFunction in de.lmu.ifi.dbs.elki.algorithm.clustering

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as KernelDensityFunction

Modifier and Type	Field and Description
(package private) KernelDensityFunction	NaiveMeanShiftClustering.kernel Density estimation kernel.
(package private) KernelDensityFunction	NaiveMeanShiftClustering.Parameterizer.kernel Kernel function.

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering with parameters of type KernelDensityFunction

Constructor and Description
NaiveMeanShiftClustering(DistanceFunction<? super V,D> distanceFunction, KernelDensityFunction kernel, D range) Constructor.

Uses of KernelDensityFunction in de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.lof declared as KernelDensityFunction

Modifier and Type	Field and Description
private KernelDensityFunction	LDF.kernel Kernel density function
(package private) KernelDensityFunction	LDF.Parameterizer.kernel Kernel density function parameter
private KernelDensityFunction	SimpleKernelDensityLOF.kernel Kernel density function
(package private) KernelDensityFunction	SimpleKernelDensityLOF.Parameterizer.kernel Kernel density function parameter

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier.lof with parameters of type KernelDensityFunction

Constructor and Description
LDF(int k, DistanceFunction<? super O,D> distance, KernelDensityFunction kernel, double h, double c) Constructor.
SimpleKernelDensityLOF(int k, DistanceFunction<? super O,D> distance, KernelDensityFunction kernel) Constructor.

Uses of KernelDensityFunction in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace declared as KernelDensityFunction

Modifier and Type	Field and Description
(package private) KernelDensityFunction	OUTRES.KernelDensityEstimator.kernel Actual kernel in use

Uses of KernelDensityFunction in de.lmu.ifi.dbs.elki.math.statistics

Classes in de.lmu.ifi.dbs.elki.math.statistics that implement KernelDensityFunction

Modifier and Type	Class and Description
class	EpanechnikovKernelDensityFunction Epanechnikov kernel density estimator.
class	GaussianKernelDensityFunction Gaussian kernel density estimator.
class	TriangularKernelDensityFunction Triangular kernel density estimator.
class	UniformKernelDensityFunction Uniform / Rectangular kernel density estimator.

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

Modifier and Type	Method and Description
private void	KernelDensityEstimator.process(double[] data, double min, double max, KernelDensityFunction kernel, int window, double epsilon) Process a new array

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

Constructor and Description
KernelDensityEstimator(double[] data, double min, double max, KernelDensityFunction kernel, int window, double epsilon) Initialize and execute kernel density estimation.
KernelDensityEstimator(double[] data, KernelDensityFunction kernel, double epsilon) Process an array of data