de.lmu.ifi.dbs.elki.math

Class MeanVarianceMinMax

java.lang.Object

de.lmu.ifi.dbs.elki.math.Mean

de.lmu.ifi.dbs.elki.math.MeanVariance

de.lmu.ifi.dbs.elki.math.MeanVarianceMinMax

public class MeanVarianceMinMax
extends MeanVariance

Class collecting mean, variance, minimum and maximum statistics.

Field Summary

Fields

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

Fields inherited from class de.lmu.ifi.dbs.elki.math.MeanVariance

nvar

Fields inherited from class de.lmu.ifi.dbs.elki.math.Mean

mean, wsum

Constructor Summary

Constructors

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

Method Summary

Methods

Modifier and Type	Method and 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
void	put(double val, double weight) Add data with a given weight.
void	put(Mean other) Join the data of another MeanVariance instance.
void	reset() Reset the value.
String	toString()

Methods inherited from class de.lmu.ifi.dbs.elki.math.MeanVariance

denormalizeValue, getCount, getMean, getNaiveStddev, getNaiveVariance, getSampleStddev, getSampleVariance, normalizeValue

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. See also: D.H.D. West
Updating Mean and Variance Estimates: An Improved Method

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

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 String toString()

Overrides:

toString in class MeanVariance

reset

public void reset()

Description copied from class: Mean

Reset the value.

Overrides:

reset in class MeanVariance