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

java.lang.Object
  de.lmu.ifi.dbs.elki.utilities.scaling.outlier.OutlierLinearScaling

All Implemented Interfaces:

InspectionUtilFrequentlyScanned, Parameterizable, OutlierScalingFunction, ScalingFunction

public class OutlierLinearScaling
extends Object
implements OutlierScalingFunction

Scaling that can map arbitrary values to a probability in the range of [0:1]. Transformation is done by linear mapping onto 0:1 using the minimum and maximum values.

Nested Class Summary

static class

OutlierLinearScaling.Parameterizer Parameterization class.

Field Summary

(package private) double	factor Scaling factor to use (1/ max - min)
protected Double	max Field storing the Maximum value
static OptionID	MAX_ID Parameter to specify the maximum value Key: -linearscale.max
static OptionID	MEAN_ID Flag to use the mean as minimum for scaling.
protected Double	min Field storing the Minimum to use
static OptionID	MIN_ID Parameter to specify a fixed minimum to use.
(package private) boolean	nozeros Ignore zero values
static OptionID	NOZEROS_ID Flag to use ignore zeros when computing the min and max.
(package private) boolean	usemean Use the mean for scaling

Constructor Summary

OutlierLinearScaling()
Constructor.

OutlierLinearScaling(Double min, Double max, boolean usemean, boolean nozeros)
Constructor.

Method Summary

double	getMax() Get maximum resulting value.
double	getMin() Get minimum resulting value.
double	getScaled(double value) Transform a given value using the scaling function.
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

MIN_ID

public static final OptionID MIN_ID

Parameter to specify a fixed minimum to use.

Key: -linearscale.min

MAX_ID

public static final OptionID MAX_ID

Parameter to specify the maximum value

Key: -linearscale.max

MEAN_ID

public static final OptionID MEAN_ID

Flag to use the mean as minimum for scaling.

Key: -linearscale.usemean

NOZEROS_ID

public static final OptionID NOZEROS_ID

Flag to use ignore zeros when computing the min and max.

Key: -linearscale.ignorezero

min

protected Double min

Field storing the Minimum to use

max

protected Double max

Field storing the Maximum value

factor

double factor

Scaling factor to use (1/ max - min)

usemean

boolean usemean

Use the mean for scaling

nozeros

boolean nozeros

Ignore zero values

Constructor Detail

OutlierLinearScaling

public OutlierLinearScaling()

Constructor.

OutlierLinearScaling

public OutlierLinearScaling(Double min,
                            Double max,
                            boolean usemean,
                            boolean nozeros)

Constructor.

Parameters:

min -

max -

usemean -

nozeros -

Method Detail

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

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 Database, Result or Annotation.

Specified by:

prepare in interface OutlierScalingFunction

Parameters:

or - Outlier result to use

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.

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.