ai.libs.jaicore.ml.tsc.distances

Class ComplexityInvariantDistance

java.lang.Object

ai.libs.jaicore.ml.tsc.distances.ComplexityInvariantDistance

All Implemented Interfaces:

ITimeSeriesDistance

public class ComplexityInvariantDistance
extends java.lang.Object
implements ITimeSeriesDistance

Implementation of the Complexity Invariant Distance (CID) measure as published in "A Complexity-Invariant Distance Measure for Time Series" by Gustavo E.A.P.A. Batista, Xiaoyue Wang and Eamonn J. Keogh. The authors address the complexity invariant of time series distance measures. That is, that time series with higher complexity tend to be further apart under current distance measures than pairs of simple objects. Given a complexity measure c and a distance measure d, the Complexity Invariant Distance for the two time series A and B is: d(A, B) * (max(c(A), c(B)) / min(c(A), c(B))).

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

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.