edu.umd.cloud9.example.clustering

Class PVector

java.lang.Object

edu.umd.cloud9.example.clustering.PVector

public final class PVector
extends Object

Parameter vector.

Field Summary

Fields

Modifier and Type	Field and Description
double[]	array

Constructor Summary

Constructors

Constructor and Description
PVector(int dim) Class constructor.

Method Summary

Methods

Modifier and Type	Method and Description
PVector	clone() Creates and returns a copy of the instance.
double	dot(PVector v2)
static boolean	equals(PVector v1, PVector v2) Verifies if two vectors are similar.
int	getDimension() Returns vector's dimension.
PVector	minus(PVector v2)
double	norm2() Computes the Euclidean norm of the current vector \f$ v \f$.
PVector	plus(PVector v2)
static PVector	sampleRandomDistribution(int dim) Generates of a random vector \f$ v = (x_1, x_2, \cdots )\f$ where each component is drawn uniformly in \f$ \mathcal{U}(0,1)\f$.
static PVector	sampleRandomVector(int dim) Generates of a random vector \f$ v = (x_1, x_2, \cdots )\f$ where each component is drawn uniformly in \f$ \mathcal{U}(0,1)\f$.
PVector	times(double lambda)
String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

array

public double[] array

Constructor Detail

PVector

public PVector(int dim)

Class constructor.

Parameters:

dim - dimension of the vector

Method Detail

plus

public PVector plus(PVector v2)

minus

public PVector minus(PVector v2)

times

public PVector times(double lambda)

dot

public double dot(PVector v2)

sampleRandomVector

public static PVector sampleRandomVector(int dim)

Generates of a random vector \f$ v = (x_1, x_2, \cdots )\f$ where each component is drawn uniformly in \f$ \mathcal{U}(0,1)\f$.

Parameters:

dim - dimension of the vector

Returns:

random vector

sampleRandomDistribution

public static PVector sampleRandomDistribution(int dim)

Generates of a random vector \f$ v = (x_1, x_2, \cdots )\f$ where each component is drawn uniformly in \f$ \mathcal{U}(0,1)\f$. The vector is normalized such as \f$ \sum_i x_i = 1 \f$.

Parameters:

dim - dimension of the vector

Returns:

random vector

equals

public static boolean equals(PVector v1,
             PVector v2)

Verifies if two vectors are similar.

Parameters:

v1 - vector \f$ v_1 \f$

v2 - vector \f$ v_2 \f$

Returns:

true if \f$ v_1 = v_2 \f$, false otherwise

norm2

public double norm2()

Computes the Euclidean norm of the current vector \f$ v \f$.

Returns:

\f$ \|v\|_2 \f$

toString

public String toString()

Overrides:

toString in class Object

clone

public PVector clone()

Creates and returns a copy of the instance.

Overrides:

clone in class Object

Returns:

a clone of the instance.

getDimension

public int getDimension()

Returns vector's dimension.

Returns:

vector's dimension.