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

Class TriangularKernelDensityFunction

java.lang.Object

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

All Implemented Interfaces:

KernelDensityFunction

public final class TriangularKernelDensityFunction
extends Object
implements KernelDensityFunction

Triangular kernel density estimator.

Author:

Erich Schubert

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
static double	CANONICAL_BANDWIDTH Canonical bandwidth.
static TriangularKernelDensityFunction	KERNEL Static instance.
private static double	R R constant.
private static double	STDDEV Standard deviation.

Constructor Summary

Constructors

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

Method Summary

Methods

Modifier and Type	Method and Description
double	canonicalBandwidth() Get the canonical bandwidth for this kernel.
double	density(double delta) Density contribution of a point at the given relative distance delta >= 0.
double	getR() Get the R integral of the kernel, \int K^2(x) dx TODO: any better name for this?
double	standardDeviation() Get the standard deviation of the kernel function.

Methods inherited from class java.lang.Object

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

Field Detail

KERNEL

public static final TriangularKernelDensityFunction KERNEL

Static instance.

CANONICAL_BANDWIDTH

public static final double CANONICAL_BANDWIDTH

Canonical bandwidth. Computed as (R / STDDEV^4)^(1/5)

STDDEV

private static final double STDDEV

Standard deviation.

R

private static final double R

R constant.

See Also:

Constant Field Values

Constructor Detail

TriangularKernelDensityFunction

private TriangularKernelDensityFunction()

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 >= 0. Note that for delta < 0, in particular for delta < 1, the results may become invalid. So usually, you will want to invoke this as: kernel.density(Math.abs(delta))

Specified by:

density in interface KernelDensityFunction

Parameters:

delta - Relative distance

Returns:

density contribution

canonicalBandwidth

public double canonicalBandwidth()

Description copied from interface: KernelDensityFunction

Get the canonical bandwidth for this kernel. Note: R uses a different definition of "canonical bandwidth", and also uses differently scaled kernels.

Specified by:

canonicalBandwidth in interface KernelDensityFunction

Returns:

Canonical bandwidth

standardDeviation

public double standardDeviation()

Description copied from interface: KernelDensityFunction

Get the standard deviation of the kernel function.

Specified by:

standardDeviation in interface KernelDensityFunction

Returns:

Standard deviation

getR

public double getR()

Description copied from interface: KernelDensityFunction

Get the R integral of the kernel, \int K^2(x) dx TODO: any better name for this?

Specified by:

getR in interface KernelDensityFunction

Returns:

R value