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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.commands.distances.dtwng;

import java.awt.geom.Area;

/**
 * 

AlignmentFactory class.

* * @author Nils Hoffmann * */ public class AlignmentFactory { /** * Returns a new DTW instance, configured by ObjectFactory. * * @return a {@link maltcms.commands.distances.dtwng.IAlignment} object. */ public IAlignment getDTWInstance() { IAlignment ia = new DTW(); return ia; } /** *

getDTWInstance.

* * @param iof a {@link maltcms.commands.distances.dtwng.IOptimizationFunction} object. * @param tfvo a {@link maltcms.commands.distances.dtwng.TwoFeatureVectorOperation} object. * @param constraints a {@link java.awt.geom.Area} object. * @return a {@link maltcms.commands.distances.dtwng.IAlignment} object. */ public IAlignment getDTWInstance(IOptimizationFunction iof, TwoFeatureVectorOperation tfvo, Area constraints) { IAlignment ia = getDTWInstance(); ia.setOptimizationFunction(iof); ia.setPairwiseFeatureVectorOperation(tfvo); ia.setConstraints(constraints); return ia; } }




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