org.apache.spark.mllib.clustering

Class VectorWithNorm

Object

org.apache.spark.mllib.clustering.VectorWithNorm

All Implemented Interfaces:

java.io.Serializable

public class VectorWithNorm
extends Object
implements scala.Serializable

A vector with its norm for fast distance computation.

See Also:

KMeans.fastSquaredDistance(org.apache.spark.mllib.clustering.VectorWithNorm, org.apache.spark.mllib.clustering.VectorWithNorm), Serialized Form

Constructor Summary

Constructors

Constructor and Description
VectorWithNorm(double[] array)
VectorWithNorm(Vector vector)
VectorWithNorm(Vector vector, double norm)

Method Summary

Methods

Modifier and Type	Method and Description
double	norm()
VectorWithNorm	toDense() Converts the vector to a dense vector.
Vector	vector()

Methods inherited from class Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

VectorWithNorm

public VectorWithNorm(Vector vector,
              double norm)

VectorWithNorm

public VectorWithNorm(Vector vector)

VectorWithNorm

public VectorWithNorm(double[] array)

Method Detail

vector

public Vector vector()

norm

public double norm()

toDense

public VectorWithNorm toDense()

Converts the vector to a dense vector.