Package elki.data

Class SparseDoubleVector

java.lang.Object

elki.data.SparseDoubleVector

All Implemented Interfaces:

FeatureVector<java.lang.Number>, NumberVector, SparseFeatureVector<java.lang.Number>, SparseNumberVector, SpatialComparable

public class SparseDoubleVector
extends java.lang.Object
implements SparseNumberVector

Sparse vector type, using double[] for storing the values, and int[] for storing the indexes, approximately 12 bytes per non-zero value.

Since:

0.1

Author:

Arthur Zimek

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	SparseDoubleVector.Factory	Factory class.
static class	SparseDoubleVector.VariableSerializer	Serialization class using VarInt encodings.

Field Summary

Fields

Modifier and Type	Field	Description
private int	dimensionality	The dimensionality of this feature vector.
private static double	DOUBLE0	Constant, for use in (inefficient) getValue(int) API.
static SparseDoubleVector.Factory	FACTORY	Static instance.
private int[]	indexes	Indexes of values.
private double[]	values	Stored values.
static ByteBufferSerializer<SparseDoubleVector>	VARIABLE_SERIALIZER	Serializer using varint encoding.

Fields inherited from interface elki.data.FeatureVector

TYPE

Fields inherited from interface elki.data.NumberVector

ATTRIBUTE_SEPARATOR, FIELD_1D, FIELD_2D

Fields inherited from interface elki.data.SparseNumberVector

FIELD, VARIABLE_LENGTH

Constructor Summary

Constructors

Constructor	Description
SparseDoubleVector(double[] values)	Create a SparseDoubleVector consisting of double values according to the specified mapping of indices and values.
SparseDoubleVector(int[] indexes, double[] values, int dimensionality)	Direct constructor.
SparseDoubleVector(it.unimi.dsi.fastutil.ints.Int2DoubleOpenHashMap values, int dimensionality)	Create a SparseDoubleVector consisting of double values according to the specified mapping of indices and values.

Method Summary

Modifier and Type	Method	Description
double	doubleValue(int dimension)	Deprecated.
int	getDimensionality()	The dimensionality of the vector space where of this FeatureVector of V is an element.
private int	getMaxDim()	Get the maximum dimensionality.
java.lang.Double	getValue(int dimension)	Deprecated.
int	iterDim(int iter)	Get the dimension an iterator points to.
double	iterDoubleValue(int iter)	Get the value of the iterators' current dimension.
long	iterLongValue(int iter)	Get the value of the iterators' current dimension.
boolean	iterValid(int iter)	Test the iterator position for validity.
long	longValue(int dimension)	Deprecated.
void	setDimensionality(int dimensionality)	Sets the dimensionality to the new value.
double[]	toArray()	Returns a double array copy of this vector.
java.lang.String	toString()	Create a String representation of this SparseDoubleVector as suitable for SparseNumberVectorLabelParser .

Methods inherited from class java.lang.Object

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

Methods inherited from interface elki.data.NumberVector

getMax, getMin

Methods inherited from interface elki.data.SparseFeatureVector

iterAdvance, iterRetract

Methods inherited from interface elki.data.SparseNumberVector

byteValue, floatValue, intValue, iter, iterByteValue, iterFloatValue, iterIntValue, iterShortValue, shortValue

Field Detail

FACTORY

public static final SparseDoubleVector.Factory FACTORY

Static instance.

VARIABLE_SERIALIZER

public static final ByteBufferSerializer<SparseDoubleVector> VARIABLE_SERIALIZER

Serializer using varint encoding.

DOUBLE0

private static final double DOUBLE0

Constant, for use in (inefficient) getValue(int) API.

See Also:

Constant Field Values

indexes

private final int[] indexes

Indexes of values.

values

private final double[] values

Stored values.

dimensionality

private int dimensionality

The dimensionality of this feature vector.

Constructor Detail

SparseDoubleVector

public SparseDoubleVector(int[] indexes,
                          double[] values,
                          int dimensionality)

Direct constructor.

Parameters:

indexes - Indexes Must be sorted!

values - Associated value.

dimensionality - "true" dimensionality

SparseDoubleVector

public SparseDoubleVector(it.unimi.dsi.fastutil.ints.Int2DoubleOpenHashMap values,
                          int dimensionality)
                   throws java.lang.IllegalArgumentException

Create a SparseDoubleVector consisting of double values according to the specified mapping of indices and values.

Parameters:

values - the values to be set as values of the real vector

dimensionality - the dimensionality of this feature vector

Throws:

java.lang.IllegalArgumentException - if the given dimensionality is too small to cover the given values (i.e., the maximum index of any value not zero is bigger than the given dimensionality)

SparseDoubleVector

public SparseDoubleVector(double[] values)
                   throws java.lang.IllegalArgumentException

Create a SparseDoubleVector consisting of double values according to the specified mapping of indices and values.

Parameters:

values - the values to be set as values of the real vector

Throws:

java.lang.IllegalArgumentException - if the given dimensionality is too small to cover the given values (i.e., the maximum index of any value not zero is bigger than the given dimensionality)

Method Detail

getMaxDim

private int getMaxDim()

Get the maximum dimensionality.

Returns:

the maximum dimensionality seen

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

setDimensionality

public void setDimensionality(int dimensionality)
                       throws java.lang.IllegalArgumentException

Sets the dimensionality to the new value.

Specified by:

setDimensionality in interface SparseNumberVector

Parameters:

dimensionality - the new dimensionality

Throws:

java.lang.IllegalArgumentException - if the given dimensionality is too small to cover the given values (i.e., the maximum index of any value not zero is bigger than the given dimensionality)

getValue

@Deprecated
public java.lang.Double getValue(int dimension)

Deprecated.

Description copied from interface: FeatureVector

Returns the value in the specified dimension.

Specified by:

getValue in interface FeatureVector<java.lang.Number>

Specified by:

getValue in interface NumberVector

Parameters:

dimension - the desired dimension, where 0 ≤ dimension ≤ this.getDimensionality()-1

Returns:

the value in the specified dimension

doubleValue

@Deprecated
public double doubleValue(int dimension)

Deprecated.

Description copied from interface: NumberVector

Returns the value in the specified dimension as double.

Note: this might seem redundant with respect to getValue(dim).doubleValue(), but usually this is much more efficient due to boxing/unboxing cost.

Specified by:

doubleValue in interface NumberVector

Specified by:

doubleValue in interface SparseNumberVector

Parameters:

dimension - the desired dimension, where 0 ≤ dimension < this.getDimensionality()

Returns:

the value in the specified dimension

longValue

@Deprecated
public long longValue(int dimension)

Deprecated.

Description copied from interface: NumberVector

Returns the value in the specified dimension as long.

Note: this might seem redundant with respect to getValue(dim).longValue(), but usually this is much more efficient due to boxing/unboxing cost.

Specified by:

longValue in interface NumberVector

Specified by:

longValue in interface SparseNumberVector

Parameters:

dimension - the desired dimension, where 0 ≤ dimension < this.getDimensionality()

Returns:

the value in the specified dimension

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[]

toString

public java.lang.String toString()

Create a String representation of this SparseDoubleVector as suitable for SparseNumberVectorLabelParser . The returned String is a single line with entries separated by NumberVector.ATTRIBUTE_SEPARATOR. The first entry gives the number of values actually not zero. Following entries are pairs of Integer and Double where the Integer gives the index of the dimensionality and the Double gives the corresponding value. Example: a vector (0,1.2,1.3,0)^T would result in the String
2 2 1.2 3 1.3

Specified by:

toString in interface FeatureVector<java.lang.Number>

Overrides:

toString in class java.lang.Object

Returns:

a String representation of this SparseDoubleVector

iterDim

public int iterDim(int iter)

Description copied from interface: SparseFeatureVector

Get the dimension an iterator points to.

Specified by:

iterDim in interface SparseFeatureVector<java.lang.Number>

Parameters:

iter - Iterator position

Returns:

Dimension the iterator refers to

iterValid

public boolean iterValid(int iter)

Description copied from interface: SparseFeatureVector

Test the iterator position for validity.

Specified by:

iterValid in interface SparseFeatureVector<java.lang.Number>

Parameters:

iter - Iterator position

Returns:

true when it refers to a valid position.

iterDoubleValue

public double iterDoubleValue(int iter)

Description copied from interface: SparseNumberVector

Get the value of the iterators' current dimension.

Specified by:

iterDoubleValue in interface SparseNumberVector

Parameters:

iter - Iterator

Returns:

Value at the current position

iterLongValue

public long iterLongValue(int iter)

Description copied from interface: SparseNumberVector

Get the value of the iterators' current dimension.

Specified by:

iterLongValue in interface SparseNumberVector

Parameters:

iter - Iterator

Returns:

Value at the current position