/* * 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); } }