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/*!
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
*/
#pragma once
#include <pyclustering/interface/pyclustering_package.hpp>
#include <pyclustering/definitions.hpp>
/**
*
* @brief Clustering algorithm DBSCAN returns allocated clusters and noise that are consisted
* from input data.
* @details Caller should destroy returned result by 'free_pyclustering_package'.
*
* @param[in] p_sample: input data for clustering (points or distance matrix).
* @param[in] p_radius: connectivity radius between points, points may be connected if distance
* between them less then the radius.
* @param[in] p_minumum_neighbors: minimum number of shared neighbors that is required for
* establish links between points.
* @param[in] p_data_type: defines data type that is used for clustering process ('0' - points, '1' - distance matrix).
*
* @return Returns result of clustering - array of allocated clusters. The last cluster in the
* array is noise.
*
*/
extern "C" DECLARATION pyclustering_package * dbscan_algorithm(const pyclustering_package * const p_sample,
const double p_radius,
const size_t p_minumum_neighbors,
const size_t p_data_type);
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