Package elki.index.tree.betula.features

Class VVVFeature

java.lang.Object

elki.index.tree.betula.features.VVVFeature

All Implemented Interfaces:

FeatureVector<java.lang.Number>, NumberVector, SpatialComparable, AsClusterFeature, ClusterFeature

public class VVVFeature
extends java.lang.Object
implements ClusterFeature

Clustering Feature of stable BIRCH with covariance instead of variance

Since:

0.8.0

Author:

Andreas Lang

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	VVVFeature.Factory	Factory for making cluster features.

Field Summary

Fields

Modifier and Type	Field	Description
(package private) double[]	mean	mean
(package private) int	n	Number of objects
(package private) double[][]	ssd	Sum of Squared Deviations.

Fields inherited from interface elki.data.FeatureVector

TYPE

Fields inherited from interface elki.data.NumberVector

ATTRIBUTE_SEPARATOR, FIELD, FIELD_1D, FIELD_2D, VARIABLE_LENGTH

Constructor Summary

Constructors

Constructor	Description
VVVFeature(int dimensionality)	Constructor.

Method Summary

Modifier and Type	Method	Description
void	addToStatistics(NumberVector nv)	Add NumberVector to CF
void	addToStatistics(ClusterFeature other)	Add other CF to CF
void	addToStatistics(VVVFeature other)
double	centroid(int i)	Returns the mean of the specified dimension.
double[][]	covariance()	returns the covariance matrix
int	getDimensionality()	The dimensionality of the vector space where of this FeatureVector of V is an element.
int	getWeight()	Return the weight
void	resetStatistics()	Resets all statistics of CF
double	sumdev()	Returns the total sum of Deviations.
double[]	toArray()	Returns a double array copy of this vector.
double	variance()	Returns the total variance.
double	variance(int d)	Returns the variance in the specified dimension.

Methods inherited from class java.lang.Object

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

Methods inherited from interface elki.index.tree.betula.features.ClusterFeature

doubleValue, getCF, longValue

Methods inherited from interface elki.data.FeatureVector

toString

Methods inherited from interface elki.data.NumberVector

byteValue, floatValue, getMax, getMin, getValue, intValue, shortValue

Field Detail

n

int n

Number of objects

mean

double[] mean

mean

ssd

double[][] ssd

Sum of Squared Deviations.

Constructor Detail

VVVFeature

public VVVFeature(int dimensionality)

Constructor.

Parameters:

dimensionality - Dimensionality

Method Detail

addToStatistics

public void addToStatistics(NumberVector nv)

Description copied from interface: ClusterFeature

Add NumberVector to CF

Specified by:

addToStatistics in interface ClusterFeature

Parameters:

nv - NumberVector

addToStatistics

public void addToStatistics(ClusterFeature other)

Description copied from interface: ClusterFeature

Add other CF to CF

Specified by:

addToStatistics in interface ClusterFeature

Parameters:

other - other CF

addToStatistics

public void addToStatistics(VVVFeature other)

resetStatistics

public void resetStatistics()

Description copied from interface: ClusterFeature

Resets all statistics of CF

Specified by:

resetStatistics in interface ClusterFeature

centroid

public double centroid(int i)

Description copied from interface: ClusterFeature

Returns the mean of the specified dimension.

Specified by:

centroid in interface ClusterFeature

Parameters:

i - dimension

Returns:

mean of this dimension

variance

public double variance()

Description copied from interface: ClusterFeature

Returns the total variance.

Specified by:

variance in interface ClusterFeature

Returns:

variance.

sumdev

public double sumdev()

Description copied from interface: ClusterFeature

Returns the total sum of Deviations.

Specified by:

sumdev in interface ClusterFeature

Returns:

Sum of Deviations.

variance

public double variance(int d)

Description copied from interface: ClusterFeature

Returns the variance in the specified dimension.

Specified by:

variance in interface ClusterFeature

Parameters:

d - dimension

Returns:

variance in this dimension.

covariance

public double[][] covariance()

Description copied from interface: ClusterFeature

returns the covariance matrix

Specified by:

covariance in interface ClusterFeature

Returns:

covariance

getDimensionality

public int getDimensionality()

Description copied from interface: FeatureVector

The dimensionality of the vector space where of this FeatureVector of V is an element.

Specified by:

getDimensionality in interface FeatureVector<java.lang.Number>

Specified by:

getDimensionality in interface SpatialComparable

Returns:

the number of dimensions of this FeatureVector of V

getWeight

public int getWeight()

Description copied from interface: ClusterFeature

Return the weight

Specified by:

getWeight in interface ClusterFeature

Returns:

weight of CF

toArray

public double[] toArray()

Description copied from interface: NumberVector

Returns a double array copy of this vector.

Specified by:

toArray in interface NumberVector

Returns:

Copy as double[]