pyclustering/cluster/clique.py
def __process_by_ccore(self):
        """!
        @brief Performs cluster analysis using C++ implementation of CLIQUE algorithm that is used by default if
                user's target platform is supported.

        """
        (self.__clusters, self.__noise, block_logical_locations, block_max_corners, block_min_corners, block_points) = \
            wrapper.clique(self.__data, self.__amount_intervals, self.__density_threshold)

        amount_cells = len(block_logical_locations)
        for i in range(amount_cells):
            self.__cells.append(clique_block(block_logical_locations[i],
                                             spatial_block(block_max_corners[i], block_min_corners[i]),
                                             block_points[i],
                                             True))
def __process_by_ccore(self):
        """!
        @brief Performs cluster analysis using C++ implementation of CLIQUE algorithm that is used by default if
                user's target platform is supported.

        """
        (self.__clusters, self.__noise, block_logical_locations, block_max_corners, block_min_corners, block_points) = \
            wrapper.clique(self.__data, self.__amount_intervals, self.__density_threshold)

        amount_cells = len(block_logical_locations)
        for i in range(amount_cells):
            self.__cells.append(clique_block(block_logical_locations[i],
                                             spatial_block(block_max_corners[i], block_min_corners[i]),
                                             block_points[i],
                                             True))
def __process_by_ccore ( self ) : ( self . __clusters , self . __noise , block_logical_locations , block_max_corners , block_min_corners , block_points ) = wrapper . clique ( self . __data , self . __amount_intervals , self . __density_threshold ) amount_cells = len ( block_logical_locations ) for i in range ( amount_cells ) : self . __cells . append ( clique_block ( block_logical_locations [ i ] , spatial_block ( block_max_corners [ i ] , block_min_corners [ i ] ) , block_points [ i ] , True ) )
!
        @brief Performs cluster analysis using C++ implementation of CLIQUE algorithm that is used by default if
                user's target platform is supported.
!