de.lmu.ifi.dbs.elki.algorithm.clustering

Class NaiveMeanShiftClustering.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>>

java.lang.Object

de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer<V,D>

de.lmu.ifi.dbs.elki.algorithm.clustering.NaiveMeanShiftClustering.Parameterizer<V,D>

Type Parameters:

V - Vector type

D - Distance type

All Implemented Interfaces:

Parameterizer

Enclosing class:

NaiveMeanShiftClustering<V extends NumberVector<?>,D extends NumberDistance<D,?>>

public static class NaiveMeanShiftClustering.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>>
extends AbstractDistanceBasedAlgorithm.Parameterizer<V,D>

Parameterizer.

Field Summary

Fields

Modifier and Type	Field and Description
(package private) KernelDensityFunction	kernel Kernel function.
static OptionID	KERNEL_ID Parameter for kernel function.
(package private) D	range Kernel radius.
static OptionID	RANGE_ID Parameter for kernel radius/range/bandwidth.

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm.Parameterizer

distanceFunction

Constructor Summary

Constructors

Constructor and Description
NaiveMeanShiftClustering.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected NaiveMeanShiftClustering<V,D>	makeInstance() Make an instance after successful configuration.
protected void	makeOptions(Parameterization config) Add all options.

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

configure, make

Methods inherited from class java.lang.Object

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

Field Detail

KERNEL_ID

public static final OptionID KERNEL_ID

Parameter for kernel function.

RANGE_ID

public static final OptionID RANGE_ID

Parameter for kernel radius/range/bandwidth.

kernel

KernelDensityFunction kernel

Kernel function.

range

D extends NumberDistance<D,?> range

Kernel radius.

Constructor Detail

NaiveMeanShiftClustering.Parameterizer

public NaiveMeanShiftClustering.Parameterizer()

Method Detail

makeOptions

protected void makeOptions(Parameterization config)

Description copied from class: AbstractParameterizer

Add all options. ALWAYS call super.makeOptions(config), unless you have a strong reason to do otherwise!

Overrides:

makeOptions in class AbstractDistanceBasedAlgorithm.Parameterizer<V extends NumberVector<?>,D extends NumberDistance<D,?>>

Parameters:

config - Parameterization to add options to.

makeInstance

protected NaiveMeanShiftClustering<V,D> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance