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/*
 *
 *  * Copyright (c) 2024. Manuel Daniel Dahmen
 *  *
 *  *
 *  *    Copyright 2024 Manuel Daniel Dahmen
 *  *
 *  *    Licensed under the Apache License, Version 2.0 (the "License");
 *  *    you may not use this file except in compliance with the License.
 *  *    You may obtain a copy of the License at
 *  *
 *  *        http://www.apache.org/licenses/LICENSE-2.0
 *  *
 *  *    Unless required by applicable law or agreed to in writing, software
 *  *    distributed under the License is distributed on an "AS IS" BASIS,
 *  *    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  *    See the License for the specific language governing permissions and
 *  *    limitations under the License.
 *
 *
 */

package one.empty3.feature20220726;

import java.io.File;

import one.empty3.feature20220726.kmeans.K_Clusterer;
import one.empty3.feature20220726.kmeans.MakeDataset;
import one.empty3.io.ProcessFile;


public class KMeans extends ProcessFile {
    protected K_Clusterer kClusterer;

    public boolean process(File in, File out) {
        if (!in.getAbsolutePath().endsWith("jpg"))
            return false;
        // init centroids with random colored
        // points.
        try {
            new MakeDataset(in, new File(out.getAbsolutePath() + ".csv"), maxRes);

            kClusterer = new K_Clusterer();
            kClusterer.process(in, new File(out.getAbsolutePath() + ".csv"), out, maxRes);

            return true;


        } catch (Exception ex) {
            ex.printStackTrace();
            return false;
        }
    }
}




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