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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.
 */

/*
 * This is not the original file distributed by the Apache Software Foundation
 * It has been modified by the Hipparchus project
 */
package org.hipparchus.clustering.distance;

import java.io.Serializable;

import org.hipparchus.exception.MathIllegalArgumentException;

/**
 * Interface for distance measures of n-dimensional vectors.
 *
 */
public interface DistanceMeasure extends Serializable {

    /**
     * Compute the distance between two n-dimensional vectors.
     * 
     * The two vectors are required to have the same dimension.
     *
     * @param a the first vector
     * @param b the second vector
     * @return the distance between the two vectors
     * @throws MathIllegalArgumentException if the array lengths differ.
     */
    double compute(double[] a, double[] b) throws MathIllegalArgumentException;
}