ai.libs.jaicore.ml.tsc.distances

Class ManhattanDistance

java.lang.Object

ai.libs.jaicore.ml.tsc.distances.ManhattanDistance

All Implemented Interfaces:

ITimeSeriesDistance

public class ManhattanDistance
extends java.lang.Object
implements ITimeSeriesDistance

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

Constructor Summary

Constructors

Constructor and Description
ManhattanDistance()

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

ManhattanDistance

public ManhattanDistance()

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.