def cluster_border_plot(centers):
rand_data_number = 1500
rand_data = create_rand_data(dataa, rand_data_number, dimension_size)
rand_data = rand_data.T[:len(rand_data.T) - 1].T
membership = FCM.cal_membership(rand_data, centers, len(centers),
len(rand_data), 2)
FCM.plot(membership, centers, rand_data)
