C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

dbscan_dense_batch.cpp

/* file: dbscan_dense_batch.cpp */
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/*
! Content:
! C++ example of dense DBSCAN clustering in the batch processing mode
!******************************************************************************/
#include "daal.h"
#include "service.h"
using namespace std;
using namespace daal;
using namespace daal::algorithms;
/* Input data set parameters */
string datasetFileName = "../data/batch/dbscan_dense.csv";
/* DBSCAN algorithm parameters */
const float epsilon = 0.02f;
const size_t minObservations = 180;
int main(int argc, char *argv[])
{
checkArguments(argc, argv, 1, &datasetFileName);
/* Initialize FileDataSource to retrieve the input data from a .csv file */
FileDataSource<CSVFeatureManager> dataSource(datasetFileName, DataSource::doAllocateNumericTable,
DataSource::doDictionaryFromContext);
/* Retrieve the data from the input file */
dataSource.loadDataBlock();
/* Create an algorithm object for the DBSCAN algorithm */
dbscan::Batch<> algorithm(epsilon, minObservations);
algorithm.input.set(dbscan::data, dataSource.getNumericTable());
algorithm.compute();
/* Print the clusterization results */
printNumericTable(algorithm.getResult()->get(dbscan::nClusters), "Number of clusters:");
printNumericTable(algorithm.getResult()->get(dbscan::assignments), "Assignments of first 20 observations:", 20);
return 0;
}

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