def dist(a, b):
    return sum((i-j)**2 for i, j in zip(a, b))
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]