Package elki.math

Class MeanVarianceMinMax

java.lang.Object

elki.math.Mean

elki.math.MeanVariance

elki.math.MeanVarianceMinMax

Direct Known Subclasses:

StatisticalMoments

public class MeanVarianceMinMax
extends MeanVariance

Class collecting mean, variance, minimum and maximum statistics.

Since:

0.5.0

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field	Description
(package private) double	max	Maximum value
(package private) double	min	Minimum value

Fields inherited from class elki.math.MeanVariance

m2

Fields inherited from class elki.math.Mean

n, sum

Constructor Summary

Constructors

Constructor	Description
MeanVarianceMinMax()	Constructor.
MeanVarianceMinMax(MeanVarianceMinMax other)	Constructor cloning existing statistics.

Method Summary

Modifier and Type	Method	Description
double	getDiff()	Return the difference between minimum and maximum.
DoubleMinMax	getDoubleMinMax()	Get the current minimum and maximum.
double	getMax()	Get the current maximum.
double	getMin()	Get the current minimum.
static MeanVarianceMinMax[]	newArray(int dimensionality)	Create and initialize a new array of MeanVarianceMinMax
void	put(double val)	Add a single value with weight 1.0
MeanVarianceMinMax	put(double[] vals)	Add values with weight 1.0
MeanVariance	put(double[] vals, double[] weights)	Add values with weight 1.0
void	put(double val, double weight)	Add data with a given weight.
void	put(Mean other)	Join the data of another MeanVariance instance.
MeanVarianceMinMax	reset()	Reset the value.
java.lang.String	toString()

Methods inherited from class elki.math.MeanVariance

getPopulationStddev, getPopulationVariance, getSampleStddev, getSampleVariance, getSumOfSquares, of

Methods inherited from class elki.math.Mean

getCount, getMean, highPrecision, of

Methods inherited from class java.lang.Object

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

Field Detail

min

double min

Minimum value

max

double max

Maximum value

Constructor Detail

MeanVarianceMinMax

public MeanVarianceMinMax()

Constructor.

MeanVarianceMinMax

public MeanVarianceMinMax(MeanVarianceMinMax other)

Constructor cloning existing statistics.

Parameters:

other - Existing statistics

Method Detail

put

public void put(double val)

Description copied from class: MeanVariance

Add a single value with weight 1.0

Overrides:

put in class MeanVariance

Parameters:

val - Value

put

public void put(double val,
                double weight)

Description copied from class: MeanVariance

Add data with a given weight.

Overrides:

put in class MeanVariance

Parameters:

val - data

weight - weight

put

public void put(Mean other)

Description copied from class: MeanVariance

Join the data of another MeanVariance instance.

Overrides:

put in class MeanVariance

Parameters:

other - Data to join with

put

public MeanVarianceMinMax put(double[] vals)

Add values with weight 1.0

Overrides:

put in class MeanVariance

Parameters:

vals - Values

Returns:

this

put

public MeanVariance put(double[] vals,
                        double[] weights)

Description copied from class: Mean

Add values with weight 1.0

Overrides:

put in class MeanVariance

Parameters:

vals - Values

Returns:

this

getMin

public double getMin()

Get the current minimum.

Returns:

current minimum.

getMax

public double getMax()

Get the current maximum.

Returns:

current maximum.

getDoubleMinMax

public DoubleMinMax getDoubleMinMax()

Get the current minimum and maximum.

Returns:

current minimum and maximum

getDiff

public double getDiff()

Return the difference between minimum and maximum.

Returns:

Difference of current Minimum and Maximum.

newArray

public static MeanVarianceMinMax[] newArray(int dimensionality)

Create and initialize a new array of MeanVarianceMinMax

Parameters:

dimensionality - Dimensionality

Returns:

New and initialized Array

toString

public java.lang.String toString()

Overrides:

toString in class MeanVariance

reset

public MeanVarianceMinMax reset()

Description copied from class: Mean

Reset the value.

Overrides:

reset in class MeanVariance

Returns:

this accumulator