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Similarities for Feature Vectors and Time Series thereof, such as Cosine and Dynamic Time Warping.

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/*
 * Maltcms, modular application toolkit for chromatography-mass spectrometry.
 * Copyright (C) 2008-2014, The authors of Maltcms. All rights reserved.
 *
 * Project website: http://maltcms.sf.net
 *
 * Maltcms may be used under the terms of either the
 *
 * GNU Lesser General Public License (LGPL)
 * http://www.gnu.org/licenses/lgpl.html
 *
 * or the
 *
 * Eclipse Public License (EPL)
 * http://www.eclipse.org/org/documents/epl-v10.php
 *
 * As a user/recipient of Maltcms, you may choose which license to receive the code
 * under. Certain files or entire directories may not be covered by this
 * dual license, but are subject to licenses compatible to both LGPL and EPL.
 * License exceptions are explicitly declared in all relevant files or in a
 * LICENSE file in the relevant directories.
 *
 * Maltcms is distributed in the hope that it will be useful, but WITHOUT
 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
 * FOR A PARTICULAR PURPOSE. Please consult the relevant license documentation
 * for details.
 */
package maltcms.math.functions.similarities;

import lombok.Data;
import maltcms.math.functions.IArraySimilarity;
import org.openide.util.lookup.ServiceProvider;
import ucar.ma2.Array;
import ucar.ma2.IndexIterator;

/**
 * Lp-norm based distance between arrays.
 *
 * @author Nils Hoffmann
 * 
 */
@Data
@ServiceProvider(service = IArraySimilarity.class)
public class ArrayLp implements IArraySimilarity {

    /** {@inheritDoc} */
    @Override
    public double apply(final Array t1, final Array t2) {
        double value = 0.0d;
        IndexIterator ii1 = t1.getIndexIterator();
        IndexIterator ii2 = t2.getIndexIterator();
        while(ii1.hasNext() && ii2.hasNext()) {
            double diff = ii1.getDoubleNext() - ii2.getDoubleNext();
            value += (diff * diff);
        }
        return -Math.sqrt(value);
    }

    /** {@inheritDoc} */
    @Override
    public IArraySimilarity copy() {
        ArrayLp alp = new ArrayLp();
        return alp;
    }
}