def load(self):
        if os.path.exists(self.path):
            with open(self.path, 'r') as f:
                self.body_labels = collections.OrderedDict(json.load(f))
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]