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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 cross.cache.ICacheDelegate;
import lombok.Data;
import lombok.EqualsAndHashCode;
import maltcms.math.functions.IArraySimilarity;
import net.jcip.annotations.NotThreadSafe;
import org.openide.util.lookup.ServiceProvider;
import ucar.ma2.Array;
import ucar.ma2.IndexIterator;
import ucar.ma2.MAVector;

/**
 * Cosine similarity between arrays.
 *
 * @author Nils Hoffmann
 * 
 */
@Data
@EqualsAndHashCode
@ServiceProvider(service = IArraySimilarity.class)
@NotThreadSafe
public class ArrayCos implements IArraySimilarity {

    private transient final ICacheDelegate cache;
    private double minimumSimilarity = 0.0d;

    /**
     * 

Constructor for ArrayCos.

*/ public ArrayCos() { cache = SimilarityTools.newValueCache("ArrayCosCache"); } private double getLength(Array a) { Double d = cache.get(a); if (d == null) { MAVector mav = new MAVector(a); d = mav.norm(); cache.put(a, d); return d; } return d; } /** {@inheritDoc} */ @Override public double apply(final Array t1, final Array t2) { final double l1 = getLength(t1); final double l2 = getLength(t2); double dot = 0.0d; IndexIterator ii1 = t1.getIndexIterator(); IndexIterator ii2 = t2.getIndexIterator(); while(ii1.hasNext() && ii2.hasNext()) { double t1v = ii1.getDoubleNext(); double t2v = ii2.getDoubleNext(); dot += (t1v*t2v); } final double val = dot / (l1 * l2); return val > minimumSimilarity ? val : Double.NEGATIVE_INFINITY; } /** {@inheritDoc} */ @Override public IArraySimilarity copy() { ArrayCos ac = new ArrayCos(); ac.setMinimumSimilarity(getMinimumSimilarity()); return ac; } /** {@inheritDoc} */ @Override public String toString() { StringBuilder sb = new StringBuilder(); sb.append(getClass().getSimpleName()).append("{" + "}"); return sb.toString(); } }




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