de.lmu.ifi.dbs.elki.algorithm.outlier.meta

Class HiCS.Parameterizer<V extends NumberVector>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.outlier.meta.HiCS.Parameterizer<V>

Type Parameters:

V - vector type

All Implemented Interfaces:

Parameterizer

Enclosing class:

HiCS<V extends NumberVector>

public static class HiCS.Parameterizer<V extends NumberVector>
extends AbstractParameterizer

Parameterization class.

Author:

Jan Brusis

Field Summary

Fields

Modifier and Type	Field and Description
static OptionID	ALGO_ID Parameter that specifies which outlier detection algorithm to use on the resulting set of high contrast subspaces.
private double	alpha Holds the value of ALPHA_ID.
static OptionID	ALPHA_ID Parameter that determines the size of the test statistic during the Monte-Carlo iteration.
private int	cutoff Holds the value of LIMIT_ID.
static OptionID	LIMIT_ID Parameter that specifies the candidate_cutoff.
private int	m Holds the value of M_ID.
static OptionID	M_ID Parameter that specifies the number of iterations in the Monte-Carlo process of identifying high contrast subspaces.
private OutlierAlgorithm	outlierAlgorithm Holds the value of ALGO_ID.
private RandomFactory	rnd Random generator.
static OptionID	SEED_ID Parameter that specifies the random seed.
private GoodnessOfFitTest	statTest Holds the value of TEST_ID.
static OptionID	TEST_ID Parameter that specifies which statistical test to use in order to calculate the deviation of two given data samples.

Constructor Summary

Constructors

Constructor and Description
Parameterizer()

Method Summary

Modifier and Type	Method and Description
protected HiCS<V>	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

M_ID

public static final OptionID M_ID

Parameter that specifies the number of iterations in the Monte-Carlo process of identifying high contrast subspaces.

ALPHA_ID

public static final OptionID ALPHA_ID

Parameter that determines the size of the test statistic during the Monte-Carlo iteration.

ALGO_ID

public static final OptionID ALGO_ID

Parameter that specifies which outlier detection algorithm to use on the resulting set of high contrast subspaces.

TEST_ID

public static final OptionID TEST_ID

Parameter that specifies which statistical test to use in order to calculate the deviation of two given data samples.

LIMIT_ID

public static final OptionID LIMIT_ID

Parameter that specifies the candidate_cutoff.

SEED_ID

public static final OptionID SEED_ID

Parameter that specifies the random seed.

m

private int m

Holds the value of M_ID.

alpha

private double alpha

Holds the value of ALPHA_ID.

outlierAlgorithm

private OutlierAlgorithm outlierAlgorithm

Holds the value of ALGO_ID.

statTest

private GoodnessOfFitTest statTest

Holds the value of TEST_ID.

cutoff

private int cutoff

Holds the value of LIMIT_ID.

rnd

private RandomFactory rnd

Random generator.

Constructor Detail

Parameterizer

public 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 AbstractParameterizer

Parameters:

config - Parameterization to add options to.

makeInstance

protected HiCS<V> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance