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Core notion of features, usually denoted as arrays of data. Definitions of features for all primitive types, features with location and lists of features (both in memory and on disk).

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/*
	AUTOMATICALLY GENERATED BY jTemp FROM
	/Users/jon/Work/openimaj/target/checkout/core/core-feature/src/main/jtemp/org/openimaj/feature/#T#FVComparison.jtemp
*/
/**
 * Copyright (c) 2011, The University of Southampton and the individual contributors.
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without modification,
 * are permitted provided that the following conditions are met:
 *
 *   * 	Redistributions of source code must retain the above copyright notice,
 * 	this list of conditions and the following disclaimer.
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 *   *	Redistributions in binary form must reproduce the above copyright notice,
 * 	this list of conditions and the following disclaimer in the documentation
 * 	and/or other materials provided with the distribution.
 *
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 * 	contributors may be used to endorse or promote products derived from this
 * 	software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
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 */
package org.openimaj.feature;

import gnu.trove.set.hash.TIntHashSet;

import org.openimaj.math.util.distance.HammingUtils;

/**
 * Comparison/distance methods for IntFV objects.
 * 
 * @author Jonathon Hare ([email protected])
 */
public enum IntFVComparison implements IntFVComparator {
	/**
	 * Euclidean distance
	 * d(H1,H2) = Math.sqrt( sumI( (H1(I)-H2(I))^2 ) )
	 */
	EUCLIDEAN(true) {
		@Override
		public double compare(final int[] h1, final int[] h2) {
			if (h1.length != h2.length)
			    throw new IllegalArgumentException("Vectors have differing lengths");

			double d = 0;

			for (int i=0; i 0) d += a*a/b;
			}

			return d / 2;
		}
	},
	/**
	 * Histogram intersection
	 * s(H1,H2) = sumI( min(H1(I), H2(I)) )
	 */
	INTERSECTION(false) {
		@Override
		public double compare(final int[] h1, final int[] h2) {
			if (h1.length != h2.length)
			    throw new IllegalArgumentException("Vectors have differing lengths");

			double d = 0;

			for (int i=0; i