de.lmu.ifi.dbs.elki.data

Interface SparseNumberVector<V extends SparseNumberVector<V,N>,N extends Number>

Type Parameters:

V - Vector type number type

N - Number type

All Superinterfaces:

FeatureVector<V,N>, InspectionUtilFrequentlyScanned, NumberVector<V,N>, Parameterizable, SparseFeatureVector<V,N>, SpatialComparable

All Known Implementing Classes:

SparseDoubleVector, SparseFloatVector

public interface SparseNumberVector<V extends SparseNumberVector<V,N>,N extends Number>
extends NumberVector<V,N>, SparseFeatureVector<V,N>

Combines the SparseFeatureVector and NumberVector

Method Summary

Methods

Modifier and Type	Method and Description
V	newNumberVector(gnu.trove.map.TIntDoubleMap values, int maxdim) Returns a new NumberVector of N for the given values.
void	setDimensionality(int maxdim) Update the vector space dimensionality.

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

byteValue, doubleValue, floatValue, getColumnVector, intValue, longValue, newNumberVector, newNumberVector, shortValue

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

getDimensionality, getMax, getMin

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

getNotNullMask

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

getDimensionality, getValue, newFeatureVector, toString

Method Detail

newNumberVector

V newNumberVector(gnu.trove.map.TIntDoubleMap values,
                int maxdim)

Returns a new NumberVector of N for the given values.

Parameters:

values - the values of the NumberVector

maxdim - Maximum dimensionality.

Returns:

a new NumberVector of N for the given values

setDimensionality

void setDimensionality(int maxdim)

Update the vector space dimensionality.

Parameters:

maxdim - New dimensionality