de.lmu.ifi.dbs.elki.math.statistics

Class GaussianKernelDensityFunction

java.lang.Object

de.lmu.ifi.dbs.elki.math.statistics.GaussianKernelDensityFunction

All Implemented Interfaces:

KernelDensityFunction

public final class GaussianKernelDensityFunction
extends Object
implements KernelDensityFunction

Gaussian kernel density estimator.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GaussianKernelDensityFunction.Parameterizer Parameterization stub.

Field Summary

Fields

Modifier and Type	Field and Description
private static double	GSCALE Scaling constant for Gaussian kernel, to make it sum up to 1.
static GaussianKernelDensityFunction	KERNEL Static instance.

Constructor Summary

Constructors

Modifier	Constructor and Description
private	GaussianKernelDensityFunction() Private, empty constructor.

Method Summary

Methods

Modifier and Type	Method and Description
double	density(double delta) Density contribution of a point at the given relative distance delta.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

GSCALE

private static final double GSCALE

Scaling constant for Gaussian kernel, to make it sum up to 1.

KERNEL

public static final GaussianKernelDensityFunction KERNEL

Static instance.

Constructor Detail

GaussianKernelDensityFunction

private GaussianKernelDensityFunction()

Private, empty constructor. Use the static instance!

Method Detail

density

public double density(double delta)

Description copied from interface: KernelDensityFunction

Density contribution of a point at the given relative distance delta.

Specified by:

density in interface KernelDensityFunction

Parameters:

delta - Relative distance

Returns:

density contribution