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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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.
*/
package org.apache.commons.math4.neuralnet;
import org.apache.commons.math4.neuralnet.internal.NeuralNetException;
/**
* Euclidean distance measures of n-dimensional vectors.
*
* @since 4.0
*/
public class EuclideanDistance implements DistanceMeasure {
/** {@inheritDoc} */
@Override
public double applyAsDouble(double[] a,
double[] b) {
final int len = a.length;
if (len != b.length) {
throw new NeuralNetException(NeuralNetException.SIZE_MISMATCH,
len, b.length);
}
double sum = 0;
for (int i = 0; i < len; i++) {
final double diff = a[i] - b[i];
sum += diff * diff;
}
return Math.sqrt(sum);
}
}