mms = MinMaxScaler()
mms.fit(costumers_dataset)
data_transformed = mms.transform(costumers_dataset)
def plot_clustering(data, labels, title=None):
    x_min, x_max = np.min(data, axis=0), np.max(data, axis=0)
    data = (data - x_min) / (x_max - x_min)
    fig = plt.figure(1, figsize=(4, 3))
    plt.figure(figsize=(6, 4))
    plt.scatter(data[:, 0], data[:, 1],
                 c=labels.astype(np.float))
    plt.xticks([])
    plt.yticks([])
    if title is not None:
        plt.title(title, size=17)
    plt.axis('off')
    plt.tight_layout(rect=[0, 0.03, 1, 0.95])