Package ai.libs.jaicore.basic.metric
Class ManhattanDistance
- java.lang.Object
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- ai.libs.jaicore.basic.metric.ManhattanDistance
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- All Implemented Interfaces:
org.api4.java.common.math.IMetric<double[]>
,IDistanceMetric
public class ManhattanDistance extends java.lang.Object implements IDistanceMetric
Implementation of the Manhattan distance for time series. The Manhattan distance for two time seriesA
andB
of lengthn
is defined as\sum_{i=0}^{n} |A_i - B_i|
. Therefore, it is required forA
andB
to be of the same length.
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Constructor Summary
Constructors Constructor Description ManhattanDistance()
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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
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Methods inherited from interface org.api4.java.common.metric.IDistanceMetric
getDistance
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Method Detail
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distance
public double distance(double[] a, double[] b)
Description copied from interface:IDistanceMetric
Calculates the distance between two time series.- Specified by:
distance
in interfaceIDistanceMetric
- Parameters:
a
- First time series.b
- Second time series.- Returns:
- Distance between the first and second time series.
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