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/*
 * Copyright (c) 2010-2025 Haifeng Li. All rights reserved.
 *
 * Smile is free software: you can redistribute it and/or modify it
 * under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * Smile 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. See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with Smile. If not, see .
 */

/**
 * Vector quantization is a lossy compression technique used in speech
 * and image coding. In vector quantization, a vector is selected from
 * a finite list of possible vectors to represent an input vector of
 * samples. Each input vector can be viewed as a point in an n-dimensional
 * space. The vector quantizer is defined by a partition of this space
 * into a set of non-overlapping regions. The vector is encoded by
 * the nearest reference vector (known as codevector) in the codebook.
 *
 * @author Haifeng Li
 */
package smile.vq;