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The S-Space Package is a Natural Language Processing library for distributional semantics representations. Distributional semantics representations model the meaning of words, phrases, and sentences as high dimensional vectors or probability distributions. The library includes common algorithms such as Latent Semantic Analysis, Random Indexing, and Latent Dirichlet Allocation. The S-Space package also includes software libraries for matrices, vectors, graphs, and numerous clustering algorithms.

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/*
 * Copyright 2011 Keith Stevens 
 *
 * This file is part of the S-Space package and is covered under the terms and
 * conditions therein.
 *
 * The S-Space package is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License version 2 as published
 * by the Free Software Foundation and distributed hereunder to you.
 *
 * THIS SOFTWARE IS PROVIDED "AS IS" AND NO REPRESENTATIONS OR WARRANTIES,
 * EXPRESS OR IMPLIED ARE MADE.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, WE MAKE
 * NO REPRESENTATIONS OR WARRANTIES OF MERCHANT- ABILITY OR FITNESS FOR ANY
 * PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE OR DOCUMENTATION
 * WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER
 * RIGHTS.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program. If not, see .
 */

package edu.ucla.sspace.clustering.criterion;


/**
 * This {@link HybridBaseFunction} uses the {@link E1Function} and the {@link
 * I1Function}.
 *
 * @author Keith Stevens
 */
public class H2Function extends HybridBaseFunction {

    /**
     * {@inheritDoc}
     */
    protected BaseFunction getInternalFunction() {
        return new I2Function(matrix, centroids, i1Costs, 
                              assignments, clusterSizes);
    }

    /**
     * {@inheritDoc}
     */
    protected BaseFunction getExternalFunction() {
        return new E1Function(matrix, centroids, e1Costs,
                              assignments, clusterSizes,
                              completeCentroid, simToComplete);
    }

    /**
     * {@inheritDoc}
     */
    public boolean isMaximize() {
        return true;
    }
}