Package edu.cmu.tetrad.cluster.metrics

Class SquaredErrorLoss

java.lang.Object

edu.cmu.tetrad.cluster.metrics.SquaredErrorLoss

All Implemented Interfaces:

Dissimilarity

public class SquaredErrorLoss
extends Object
implements Dissimilarity

Euclidean dissimilarity metric--i.e., the sum of the differences in corresponding variable values.

Version:

$Id: $Id

Author:

josephramsey

Constructor Summary

Constructors

Constructor	Description
SquaredErrorLoss()	Calculates the squared error dissimilarity between two vectors using the Euclidean dissimilarity metric.

Method Summary

Modifier and Type	Method	Description
double	dissimilarity(Vector v1, Vector v2)	Calculates the dissimilarity between two vectors using the Euclidean dissimilarity metric.

Methods inherited from class java.lang.Object

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

Constructor Details

SquaredErrorLoss

public SquaredErrorLoss()

Calculates the squared error dissimilarity between two vectors using the Euclidean dissimilarity metric.

Method Details

dissimilarity

public double dissimilarity(Vector v1,
 Vector v2)

Calculates the dissimilarity between two vectors using the Euclidean dissimilarity metric.

Specified by:

dissimilarity in interface Dissimilarity

Parameters:

v1 - the first vector

v2 - the second vector

Returns:

the dissimilarity between the two vectors

Throws:

IllegalArgumentException - if the vectors are not the same length