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

Class TopKOutlierScaling

java.lang.Object

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

All Implemented Interfaces:

OutlierScalingFunction, ScalingFunction

public class TopKOutlierScaling
extends Object
implements OutlierScalingFunction

Outlier scaling function that only keeps the top k outliers.

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	TopKOutlierScaling.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private boolean	binary Do a binary decision
static OptionID	BINARY_ID Parameter to specify the lambda value Key: -topk.binary
private double	cutoff The value we cut off at.
private double	ground The "ground" value
private int	k Number of outliers to keep.
static OptionID	K_ID Parameter to specify the number of outliers to keep Key: -topk.k
private double	max The maximum value

Constructor Summary

Constructors

Constructor and Description
TopKOutlierScaling(int k, boolean binary) Constructor.

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

K_ID

public static final OptionID K_ID

Parameter to specify the number of outliers to keep

Key: -topk.k

BINARY_ID

public static final OptionID BINARY_ID

Parameter to specify the lambda value

Key: -topk.binary

k

private int k

Number of outliers to keep.

binary

private boolean binary

Do a binary decision

cutoff

private double cutoff

The value we cut off at.

ground

private double ground

The "ground" value

max

private double max

The maximum value

Constructor Detail

TopKOutlierScaling

public TopKOutlierScaling(int k,
                          boolean binary)

Constructor.

Parameters:

k -

binary -

Method Detail

prepare

public void prepare(OutlierResult or)

Description copied from interface: OutlierScalingFunction

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 OutlierScalingFunction

Parameters:

or - Outlier result to use

prepare

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

Description copied from interface: OutlierScalingFunction

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 OutlierScalingFunction

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