de.lmu.ifi.dbs.elki.data

Interface SparseNumberVector<N extends Number>

Type Parameters:

N - Number type

All Superinterfaces:

FeatureVector<N>, NumberVector<N>, SparseFeatureVector<N>, SpatialComparable

All Known Implementing Classes:

SparseDoubleVector, SparseFloatVector

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

Combines the SparseFeatureVector and NumberVector.

Nested Class Summary

Nested Classes

Modifier and Type	Interface and Description
static interface	SparseNumberVector.Factory<V extends SparseNumberVector<N>,N extends Number> Factory for sparse number vectors: make from a dim-value map.

Method Summary

Methods

Modifier and Type	Method and Description
void	setDimensionality(int maxdim) Update the vector space dimensionality.

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

byteValue, doubleValue, floatValue, getColumnVector, getValue, intValue, longValue, 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, toString

Method Detail

setDimensionality

void setDimensionality(int maxdim)

Update the vector space dimensionality.

Parameters:

maxdim - New dimensionality