de.lmu.ifi.dbs.elki.data
Interface FeatureVector<V extends FeatureVector<V,N>,N extends Number>

Type Parameters:

V - the type of FeatureVector implemented by a subclass

N - the type of the attribute values

All Superinterfaces:

DatabaseObject, SpatialComparable, SpatialObject

All Known Implementing Classes:

BitVector, DoubleVector, FloatVector, NumberVector, ParameterizationFunction, RealVector, SparseFloatVector

public interface FeatureVector<V extends FeatureVector<V,N>,N extends Number>
extends DatabaseObject, SpatialObject

Interface FeatureVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Author:

Arthur Zimek

Method Summary

Vector	getColumnVector() Returns a Vector representing in one column and getDimensionality() rows the values of this FeatureVector of V.
int	getDimensionality() The dimensionality of the vector space where of this FeatureVector of V is an element.
Matrix	getRowVector() Returns a Matrix representing in one row and getDimensionality() columns the values of this FeatureVector of V.
N	getValue(int dimension) Returns the value in the specified dimension.
V	multiplicate(double k) Returns a new FeatureVector of V that is the result of a scalar multiplication with the given scalar.
V	negativeVector() Returns the additive inverse to this FeatureVector of V.
V	newInstance(List<N> values) Returns a new FeatureVector of V for the given values.
V	newInstance(N[] values) Returns a new FeatureVector of V for the given values.
V	nullVector() Provides a null vector of the same Feature Vector Space as this FeatureVector of V (that is, of the same dimensionality).
V	plus(V fv) Returns a new FeatureVector of V that is the sum of this FeatureVector of V and the given FeatureVector of V.
V	randomInstance(N min, N max, Random random) Returns a FeatureVector of V with random values between min and max.
V	randomInstance(Random random) Returns a FeatureVector of V with uniformly distributed (0-1) random values.
V	randomInstance(V min, V max, Random random) Returns a FeatureVector of V with random values between min and max.
String	toString() Returns a String representation of the FeatureVector of V as a line that is suitable to be printed in a sequential file.

Methods inherited from interface de.lmu.ifi.dbs.elki.data.DatabaseObject

equals, getID, setID

Methods inherited from interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialObject

getID

Methods inherited from interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialComparable

getMax, getMin

Method Detail

newInstance

V newInstance(N[] values)

Returns a new FeatureVector of V for the given values.

Parameters:

values - the values of the featureVector

Returns:

a new FeatureVector of V for the given values

newInstance

V newInstance(List<N> values)

Returns a new FeatureVector of V for the given values.

Parameters:

values - the values of the featureVector

Returns:

a new FeatureVector of V for the given values

randomInstance

V randomInstance(Random random)

Returns a FeatureVector of V with uniformly distributed (0-1) random values.

Parameters:

random - a Random instance

Returns:

a FeatureVector of V with random values

randomInstance

V randomInstance(N min,
                 N max,
                 Random random)

Returns a FeatureVector of V with random values between min and max.

Parameters:

min - minimum of random value

max - maximum of random value

random - a random instance

Returns:

a FeatureVector of V with random values between min and max

randomInstance

V randomInstance(V min,
                 V max,
                 Random random)

Returns a FeatureVector of V with random values between min and max.

Parameters:

min - minimum of random value for each axis

max - maximum of random value for each axis

random - a random instance

Returns:

a FeatureVector of V with random values between min and max

getDimensionality

int getDimensionality()

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

Specified by:

getDimensionality in interface SpatialComparable

Returns:

the number of dimensions of this FeatureVector of V

getValue

N getValue(int dimension)

Returns the value in the specified dimension.

Parameters:

dimension - the desired dimension, where 1 ≤ dimension ≤ this.getDimensionality()

Returns:

the value in the specified dimension

getColumnVector

Vector getColumnVector()

Returns a Vector representing in one column and getDimensionality() rows the values of this FeatureVector of V.

Returns:

a Matrix representing in one column and getDimensionality() rows the values of this FeatureVector of V

getRowVector

Matrix getRowVector()

Returns a Matrix representing in one row and getDimensionality() columns the values of this FeatureVector of V.

Returns:

a Matrix representing in one row and getDimensionality() columns the values of this FeatureVector of V

plus

V plus(V fv)

Returns a new FeatureVector of V that is the sum of this FeatureVector of V and the given FeatureVector of V.

Parameters:

fv - a FeatureVector of V to be added to this FeatureVector of V

Returns:

a new FeatureVector of V that is the sum of this FeatureVector of V and the given FeatureVector of V

nullVector

V nullVector()

Provides a null vector of the same Feature Vector Space as this FeatureVector of V (that is, of the same dimensionality).

Returns:

a null vector of the same Feature Vector Space as this FeatureVector of V (that is, of the same dimensionality)

negativeVector

V negativeVector()

Returns the additive inverse to this FeatureVector of V.

Returns:

the additive inverse to this FeatureVector of V

multiplicate

V multiplicate(double k)

Returns a new FeatureVector of V that is the result of a scalar multiplication with the given scalar.

Parameters:

k - a scalar to multiply this FeatureVector of V with

Returns:

a new FeatureVector of V that is the result of a scalar multiplication with the given scalar

toString

String toString()

Returns a String representation of the FeatureVector of V as a line that is suitable to be printed in a sequential file.

Overrides:

toString in class Object

Returns:

a String representation of the FeatureVector of V