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()

Method Summary

Modifier and Type	Method	Description
double	dissimilarity(Vector v1, Vector v2)	dissimilarity.

Methods inherited from class java.lang.Object

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

Constructor Details

SquaredErrorLoss

public SquaredErrorLoss()

Method Details

dissimilarity

public double dissimilarity(Vector v1,
 Vector v2)

dissimilarity.

Specified by:

dissimilarity in interface Dissimilarity

Parameters:

v1 - a Vector object

v2 - a Vector object

Returns:

a double