```
public final class Euclidean
extends java.lang.Object
```
Here we calculate Euclidean similarity metrics using Euclidean dictance as described in e.g. https://en.wikipedia.org/wiki/Euclidean_distance We specifically calculate the Euclidean squared distance for the overlap of the arrays, potentially ignoring the tail of one of them. We then normalise this squared distance in order to clamp the number into the range (0,1] so that the metric can be used for comparisons up stream.

All Methods Static Methods Concrete Methods
Modifier and Type	Method	Description
`static double`	`doubleMetric(double[] left, double[] right)`
`static double`	`floatMetric(float[] left, float[] right)`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

public static double floatMetric(float[] left,
                                 float[] right)

public static double doubleMetric(double[] left,
                                  double[] right)

Class Euclidean