package com.intel.daal.examples.dbscan;
import com.intel.daal.algorithms.dbscan.*;
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 DBSCANDenseBatch {
private static final String dataset = "../data/batch/dbscan_dense.csv";
private static final double epsilon = 0.02;
private static final long minObservations = 180;
private static DaalContext context = new DaalContext();
public static void main(String[] args) throws java.io.FileNotFoundException, java.io.IOException {
FileDataSource dataSource = new FileDataSource(context, dataset,
DataSource.DictionaryCreationFlag.DoDictionaryFromContext,
DataSource.NumericTableAllocationFlag.DoAllocateNumericTable);
dataSource.loadDataBlock();
NumericTable input = dataSource.getNumericTable();
Batch algorithm = new Batch(context, Float.class, Method.defaultDense, epsilon, minObservations);
algorithm.input.set(InputId.data, input);
Result result = algorithm.compute();
Service.printNumericTable("Number of clusters:", result.get(ResultId.nClusters));
Service.printNumericTable("Assignments of first 20 observations:", result.get(ResultId.assignments), 20);
context.dispose();
}
}