ComplexityInvariantDistance (jaicore-ml 0.1.6 API)

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
  
  All Methods Instance Methods Concrete Methods
  Modifier and Type Method 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.