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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 BSAS result is returned by pyclustering_package that consist sub-packages and this enumerator provides
* named indexes for sub-packages.
*
*/
enum bsas_package_indexer {
BSAS_PACKAGE_INDEX_CLUSTERS = 0,
BSAS_PACKAGE_INDEX_REPRESENTATIVES,
BSAS_PACKAGE_SIZE
};
/**
*
* @brief Clustering algorithm BSAS returns allocated clusters.
* @details Caller should destroy returned result that is in 'pyclustering_package'.
*
* @param[in] p_sample: input data for clustering.
* @param[in] p_amount: maximum allowable number of clusters that can be allocated during processing.
* @param[in] p_threshold: threshold of dissimilarity (maximum distance) between points.
* @param[in] p_metric: pointer to distance metric 'distance_metric' that is used for distance calculation between two points.
*
* @return Returns result of clustering - array of allocated clusters in pyclustering package.
*
*/
extern "C" DECLARATION pyclustering_package * bsas_algorithm(const pyclustering_package * const p_sample,
const std::size_t p_amount,
const double p_threshold,
const void * const p_metric);
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