de.lmu.ifi.dbs.elki.data

Interface FeatureVector<V extends FeatureVector<? extends V,D>,D>

Type Parameters:

V - Vector class

D - Data type

All Known Subinterfaces:

NumberVector<V,N>, SparseFeatureVector<V,D>, SparseNumberVector<V,N>

All Known Implementing Classes:

AbstractNumberVector, BitVector, Centroid, DoubleVector, FloatVector, IntegerVector, OneDimensionalDoubleVector, ParameterizationFunction, ProjectedCentroid, SparseDoubleVector, SparseFloatVector, Vector

public interface FeatureVector<V extends FeatureVector<? extends V,D>,D>

Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes). See NumberVector for vectors that actually store numerical features.

Method Summary

Methods

Modifier and Type	Method and Description
int	getDimensionality() The dimensionality of the vector space where of this FeatureVector of V is an element.
D	getValue(int dimension) Returns the value in the specified dimension.
<A> V	newFeatureVector(A array, ArrayAdapter<D,A> adapter) Returns a new FeatureVector of V for the given values.
String	toString() Returns a String representation of the FeatureVector of V as a line that is suitable to be printed in a sequential file.

Method Detail

getDimensionality

int getDimensionality()

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

Returns:

the number of dimensions of this FeatureVector of V

getValue

D 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

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

newFeatureVector

<A> V newFeatureVector(A array,
                     ArrayAdapter<D,A> adapter)

Returns a new FeatureVector of V for the given values.

Type Parameters:

A - Array type

Parameters:

array - the values of the featureVector

adapter - adapter class

Returns:

a new FeatureVector of V for the given values