org.openimaj.knn.ByteNearestNeighbours Maven / Gradle / Ivy

Go to download
/*
	AUTOMATICALLY GENERATED BY jTemp FROM
	/Users/jsh2/Work/openimaj/target/checkout/machine-learning/nearest-neighbour/src/main/jtemp/org/openimaj/knn/#T#NearestNeighbours.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.
 *
 *   *	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.
 *
 *   *	Neither the name of the University of Southampton nor the names of its
 * 	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
 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */
package org.openimaj.knn;

import org.openimaj.feature.ByteFVComparator;

import org.openimaj.util.pair.IntFloatPair;

/**
 * Abstract base class for k-nearest-neighbour calculations with byte[] data.
 * 
 * @author Jonathon Hare ([email protected])
 * @author Sina Samangooei ([email protected])
 */
public abstract class ByteNearestNeighbours implements NearestNeighbours {
	/**
	 * Static method to find the sum-squared distance between
	 * a query vector and each of a set of points. Results are stored 
	 * in the dsq_out array, much must have the same length as the number
	 * of points.
	 * @param qu The query vector.
	 * @param pnts The points to compare against.
	 * @param dsq_out The resultant distances. 
	 */
	public static void distanceFunc(final byte [] qu, final byte [][] pnts, float [] dsq_out) {
		final int N = pnts.length;
		final int D = pnts[0].length;
		
		for (int n=0; n < N; ++n) {
			dsq_out[n] = 0;
			for (int d=0; d