Package ai.libs.jaicore.basic.metric

Class EuclideanDistance

  • All Implemented Interfaces:
    org.api4.java.common.math.IMetric<double[]>, IDistanceMetric
    public class EuclideanDistance
extends java.lang.Object
implements IDistanceMetric
    Implementation of the Euclidean distance for time series. The Euclidean distance for two time series A and B of length n is defined as \sqrt{\sum_{i=0}^{n} (A_i - B_i)^2 }. Therefore, it is required for A and B to be of the same length.

    • 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

      • EuclideanDistance

        public EuclideanDistance()

    • Method Detail

      • distance

        public double distance​(double[] a,
                       double[] b)
        Description copied from interface: IDistanceMetric
        Calculates the distance between two time series.
        Specified by:
        distance in interface IDistanceMetric
        Parameters:
        a - First time series.
        b - Second time series.
        Returns:
        Distance between the first and second time series.