net.seninp.gi.clusterrule

Class DistanceComputation

java.lang.Object

net.seninp.gi.clusterrule.DistanceComputation

public class DistanceComputation
extends Object

Constructor Summary

Constructors

Constructor and Description
DistanceComputation()

Method Summary

Modifier and Type	Method and Description
protected double	calcDistTSAndPattern(double[] ts, double[] pValue) Calculating the distance between time series and pattern.
protected double	eculideanDistNorm(double[] ts1, double[] ts2) Normalized Euclidean distance.
protected double	eculideanDistNormEAbandon(double[] ts1, double[] ts2, double bsfDist) Normalized early abandoned Euclidean distance.

Methods inherited from class java.lang.Object

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

Constructor Detail

DistanceComputation

public DistanceComputation()

Method Detail

calcDistTSAndPattern

protected double calcDistTSAndPattern(double[] ts,
                                      double[] pValue)

Calculating the distance between time series and pattern.

Parameters:

ts - a series of points for time series.

pValue - a series of points for pattern.

Returns:

the distance value.

eculideanDistNormEAbandon

protected double eculideanDistNormEAbandon(double[] ts1,
                                           double[] ts2,
                                           double bsfDist)

Normalized early abandoned Euclidean distance.

Parameters:

ts1 - the first series.

ts2 - the second series.

bsfDist - the distance value (used for early abandon).

Returns:

the distance value.

eculideanDistNorm

protected double eculideanDistNorm(double[] ts1,
                                   double[] ts2)

Normalized Euclidean distance.

Parameters:

ts1 - the first series.

ts2 - the second series.

Returns:

the distance value.