ManhattanDistance (jaicore-ml 0.1.6 API)

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 Description
  
  ManhattanDistance()
- 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

- 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.