TimeWarpEditDistance (jaicore-basic 0.2.4 API)

java.lang.Object
- ai.libs.jaicore.basic.metric.TimeWarpEditDistance

All Implemented Interfaces:

org.api4.java.common.math.IMetric<double[]>, IDistanceMetric, ITimeseriesDistanceMetric
```
public class TimeWarpEditDistance
extends java.lang.Object
implements ITimeseriesDistanceMetric
```
Time Warp Edit Distance as published in "Time Warp Edit Distance with Stiffness Adjustment for Time Series Matching" by Pierre-Francois Marteau (2009). The similarity between two time series is measured as the minimum cost sequence of edit operations needed to transform one time series into another.

Constructor Summary

Constructors
Constructor	Description
`TimeWarpEditDistance(double lambda, double nu)`	Constructor.
`TimeWarpEditDistance(double lambda, double nu, IScalarDistance d)`	Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`distance(double[] a, double[] tA, double[] b, double[] tB)`	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

Methods inherited from interface org.api4.java.common.metric.IDistanceMetric
getDistance

Methods inherited from interface org.api4.java.common.metric.ITimeseriesDistanceMetric
distance

- Constructor Detail
  - TimeWarpEditDistance
```
public TimeWarpEditDistance(double lambda,
                            double nu,
                            IScalarDistance d)
```
    Constructor.
    
    Parameters:
    
    lambda - Additional cost parameter for deletion.
    
    nu - Stiffness parameter. Used to parametrize the influence of the time stamp distance.
    
    d - Distance mesaure used for point distance calculation.
  - TimeWarpEditDistance
```
public TimeWarpEditDistance(double lambda,
                            double nu)
```
    Constructor. Creates a TimeWarpEditDistance with squared distance as point distance.
    
    Parameters:
    
    lambda - Additional cost parameter for deletion.
    
    nu - Stiffness parameter.
- Method Detail
  - distance
```
public double distance(double[] a,
                       double[] tA,
                       double[] b,
                       double[] tB)
```
    Description copied from interface: ITimeseriesDistanceMetric
    
    Calculates the distance between two time series.
    
    Specified by:
    
    distance in interface ITimeseriesDistanceMetric
    
    Parameters:
    
    a - First time series.
    
    tA - Timestamps for the first time series.
    
    b - Second time series.
    
    tB - Timestamps for the second times series.
    
    Returns:
    
    Distance between the first and second time series.