def _last_index(self, s):
        self.set_index(max(0, self._find_one_after_last_labeled_index() - 1))
def __probabilities(self, index_cluster, index_point):
        divider = 0.0
        for i in range(self.__amount_clusters):
            divider += self.__pic[i] * self.__gaussians[i][index_point]