# clusters1, score1 = k_means.cluster(1, 2,zip(color_data, range(len(color_data))),
# [[0.5, 0.5]])
# clusters2, score2 = k_means.cluster(2, 2,zip(color_data, range(len(color_data))),
# clusters1, score1 = k_means.cluster(1, 2,zip(color_data, range(len(color_data))),
# [[0.5, 0.5]])
# clusters2, score2 = k_means.cluster(2, 2,zip(color_data, range(len(color_data))),