ai.libs.jaicore.ml.tsc.distances

Class EuclideanDistance

java.lang.Object

ai.libs.jaicore.ml.tsc.distances.EuclideanDistance

All Implemented Interfaces:

ITimeSeriesDistance

public class EuclideanDistance
extends java.lang.Object
implements ITimeSeriesDistance

Implementation of the Euclidean distance for time series. The Euclidean distance for two time series A and B of length n is defined as \sqrt{\sum_{i=0}^{n} (A_i - B_i)^2 }. Therefore, it is required for A and B to be of the same length.

Constructor Summary

Constructors

Constructor and Description
EuclideanDistance()

Method Summary

Modifier and Type	Method and Description
double	distance(double[] a, double[] b) Calculates the distance between two time series.

Methods inherited from class java.lang.Object

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

Constructor Detail

EuclideanDistance

public EuclideanDistance()

Method Detail

distance

public double distance(double[] a,
                       double[] b)

Description copied from interface: ITimeSeriesDistance

Calculates the distance between two time series.

Specified by:

distance in interface ITimeSeriesDistance

Parameters:

a - First time series.

b - Second time series.

Returns:

Distance between the first and second time series.