def __init__(self, data, amount_clusters, epouch = <NUM_LIT:100>, ccore = True):
self.__data_pointer = data;<EOL>self.__amount_clusters = amount_clusters;<EOL>self.__epouch = epouch;<EOL>self.__ccore = ccore;<EOL>self.__network = None<EOL>
!
        @brief Creates SOM-SC (Self Organized Map for Simple Clustering) algorithm for clustering analysis.

        @param[in] data (list): List of points that are used for processing.
        @param[in] amount_clusters (uint): Amount of clusters that should be allocated.
        @param[in] epouch (uint): Number of epochs for training of SOM.
        @param[in] ccore (bool): If it is True then CCORE implementation will be used for clustering analysis.