def save(self, doc):
        if doc.id:
            return self.update(doc)
        else:
            return self.insert(doc)
def __normalize_probabilities(self):
        for index_point in range(len(self.__data)):
            probability = 0.0
            for index_cluster in range(len(self.__clusters)):
                probability += self.__rc[index_cluster][index_point]