/* file: CorDistDenseBatch.java */
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 //  Content:
 //     Java example of computing a correlation distance matrix

package com.intel.daal.examples.distance;

import com.intel.daal.algorithms.cordistance.*;
import com.intel.daal.data_management.data.NumericTable;
import com.intel.daal.data_management.data_source.DataSource;
import com.intel.daal.data_management.data_source.FileDataSource;
import com.intel.daal.examples.utils.Service;
import com.intel.daal.services.DaalContext;

class CorDistDenseBatch {
    /* Input data set parameters */
    private static final String dataset       = "../data/batch/distance.csv";

    private static DaalContext context = new DaalContext();

    public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {

        /* Retrieve the input data */
        FileDataSource dataSource = new FileDataSource(context, dataset,

        /* Create an algorithm to compute a correlation distance matrix using the defaultDense method */
        Batch alg = new Batch(context, Float.class, Method.defaultDense);

        NumericTable input = dataSource.getNumericTable();
        alg.input.set(InputId.data, input);
        Result result = alg.compute();

        NumericTable res = result.get(ResultId.correlationDistance);

        Service.printNumericTable("Correlation distance", res, 15,15);

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