de.lmu.ifi.dbs.elki.data

Class OneDimensionalDoubleVector

java.lang.Object

de.lmu.ifi.dbs.elki.data.AbstractNumberVector<OneDimensionalDoubleVector,Double>

de.lmu.ifi.dbs.elki.data.OneDimensionalDoubleVector

All Implemented Interfaces:

FeatureVector<OneDimensionalDoubleVector,Double>, NumberVector<OneDimensionalDoubleVector,Double>, SpatialComparable, InspectionUtilFrequentlyScanned, Parameterizable

public class OneDimensionalDoubleVector
extends AbstractNumberVector<OneDimensionalDoubleVector,Double>

Specialized class implementing a one-dimensional double vector without using an array. Saves a little bit of memory, albeit we cannot avoid boxing as long as we want to implement the interface.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	OneDimensionalDoubleVector.Parameterizer Parameterization class

Field Summary

Fields

Modifier and Type	Field and Description
static OneDimensionalDoubleVector	STATIC Static factory instance
(package private) double	val The actual data value

Fields inherited from class de.lmu.ifi.dbs.elki.data.AbstractNumberVector

ATTRIBUTE_SEPARATOR

Constructor Summary

Constructors

Constructor and Description
OneDimensionalDoubleVector(double val) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
double	doubleValue(int dimension) Returns the value in the specified dimension as double.
Vector	getColumnVector() Returns a Vector representing in one column and getDimensionality() rows the values of this NumberVector of V.
int	getDimensionality() The dimensionality of the vector space where of this FeatureVector of V is an element.
Double	getValue(int dimension) Returns the value in the specified dimension.
long	longValue(int dimension) Returns the value in the specified dimension as long.
<A> OneDimensionalDoubleVector	newFeatureVector(A array, ArrayAdapter<Double,A> adapter) Returns a new FeatureVector of V for the given values.
<A> OneDimensionalDoubleVector	newNumberVector(A array, NumberArrayAdapter<?,A> adapter) Instantiate from any number-array like object.

Methods inherited from class de.lmu.ifi.dbs.elki.data.AbstractNumberVector

byteValue, equals, floatValue, getMax, getMin, hashCode, intValue, newNumberVector, shortValue

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

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

toString

Field Detail

STATIC

public static final OneDimensionalDoubleVector STATIC

Static factory instance

val

double val

The actual data value

Constructor Detail

OneDimensionalDoubleVector

public OneDimensionalDoubleVector(double val)

Constructor.

Parameters:

val - Value

Method Detail

getDimensionality

public int getDimensionality()

Description copied from interface: FeatureVector

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

doubleValue

public double doubleValue(int dimension)

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.

Parameters:

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

Returns:

the value in the specified dimension

longValue

public long longValue(int dimension)

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.

Parameters:

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

Returns:

the value in the specified dimension

getValue

public Double getValue(int dimension)

Description copied from interface: FeatureVector

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

public Vector getColumnVector()

Description copied from interface: NumberVector

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

Returns:

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

newFeatureVector

public <A> OneDimensionalDoubleVector newFeatureVector(A array,
                                              ArrayAdapter<Double,A> adapter)

Description copied from interface: FeatureVector

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

newNumberVector

public <A> OneDimensionalDoubleVector newNumberVector(A array,
                                             NumberArrayAdapter<?,A> adapter)

Description copied from interface: NumberVector

Instantiate from any number-array like object.

Type Parameters:

A - Array type

Parameters:

array - Array

adapter - Adapter

Returns:

a new NumberVector of N for the given values.