de.lmu.ifi.dbs.elki.utilities.scaling.outlier

Class HeDESNormalizationOutlierScaling

java.lang.Object

de.lmu.ifi.dbs.elki.utilities.scaling.outlier.HeDESNormalizationOutlierScaling

All Implemented Interfaces:

OutlierScaling, ScalingFunction

@Reference(authors="H. V. Nguyen, H. H. Ang, V. Gopalkrishnan",
           title="Mining Outliers with Ensemble of Heterogeneous Detectors on Random Subspaces",
           booktitle="Proc. 15th Int. Conf. Database Systems for Advanced Applications (DASFAA 2010)",
           url="https://doi.org/10.1007/978-3-642-12026-8_29",
           bibkey="DBLP:conf/dasfaa/VuAG10")
public class HeDESNormalizationOutlierScaling
extends java.lang.Object
implements OutlierScaling

Normalization used by HeDES

Reference:
H. V. Nguyen, H. H. Ang, V. Gopalkrishnan
Mining Outliers with Ensemble of Heterogeneous Detectors on Random Subspaces
Proc. 15th Int. Conf. Database Systems for Advanced Applications (DASFAA 2010)

Since:

0.4.0

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
(package private) double	mean Mean
(package private) double	scaledmax Maximum after scaling
(package private) double	scaledmin Minimum after scaling
(package private) double	stddev Standard deviation

Constructor Summary

Constructors

Constructor and Description
HeDESNormalizationOutlierScaling()

Method Summary

Modifier and Type	Method and Description
double	getMax() Get maximum resulting value.
double	getMin() Get minimum resulting value.
double	getScaled(double value) Transform a given value using the scaling function.
<A> void	prepare(A array, NumberArrayAdapter<?,A> adapter) Prepare is called once for each data set, before getScaled() will be called.
void	prepare(OutlierResult or) Prepare is called once for each data set, before getScaled() will be called.

Methods inherited from class java.lang.Object

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

Field Detail

mean

double mean

Mean

stddev

double stddev

Standard deviation

scaledmin

double scaledmin

Minimum after scaling

scaledmax

double scaledmax

Maximum after scaling

Constructor Detail

HeDESNormalizationOutlierScaling

public HeDESNormalizationOutlierScaling()

Method Detail

prepare

public void prepare(OutlierResult or)

Description copied from interface: OutlierScaling

Prepare is called once for each data set, before getScaled() will be called. This function can be used to extract global parameters such as means, minimums or maximums from the outlier scores.

Specified by:

prepare in interface OutlierScaling

Parameters:

or - Outlier result to use

prepare

public <A> void prepare(A array,
                        NumberArrayAdapter<?,A> adapter)

Description copied from interface: OutlierScaling

Prepare is called once for each data set, before getScaled() will be called. This function can be used to extract global parameters such as means, minimums or maximums from the score array. The method using a full OutlierResult is preferred, as it will allow access to the metadata.

Specified by:

prepare in interface OutlierScaling

Parameters:

array - Data to process

adapter - Array adapter

getMax

public double getMax()

Description copied from interface: ScalingFunction

Get maximum resulting value. May be Double.NaN or Double.POSITIVE_INFINITY.

Specified by:

getMax in interface ScalingFunction

Returns:

Maximum resulting value.

getMin

public double getMin()

Description copied from interface: ScalingFunction

Get minimum resulting value. May be Double.NaN or Double.NEGATIVE_INFINITY.

Specified by:

getMin in interface ScalingFunction

Returns:

Minimum resulting value.

getScaled

public double getScaled(double value)

Description copied from interface: ScalingFunction

Transform a given value using the scaling function.

Specified by:

getScaled in interface ScalingFunction

Parameters:

value - Original value

Returns:

Scaled value