/*
* Artificial Intelligence for Humans
* Volume 1: Fundamental Algorithms
* Java Version
* http://www.aifh.org
* http://www.jeffheaton.com
*
* Code repository:
* https://github.com/jeffheaton/aifh
* Copyright 2013 by Jeff Heaton
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package com.heatonresearch.aifh.distance;
/**
* The Euclidean distance is the straight-line distance between two points. It is calculated by taking the
* square root of the sum of squares differences between each point in the vector.
* <p/>
* http://www.heatonresearch.com/wiki/Euclidean_Distance
*/
public class EuclideanDistance extends AbstractDistance {
/**
* {@inheritDoc}
*/
@Override
public double calculate(final double[] position1, final int pos1, final double[] position2, final int pos2, final int length) {
double sum = 0;
for (int i = 0; i < length; i++) {
final double d = position1[i + pos1] - position2[i + pos1];
sum += d * d;
}
return Math.sqrt(sum);
}
}