color_data = [(norm_s0(s[0]), norm_s1(s[1])) for s in board_raw]
clusters = k_means.cluster(3, 2,zip(color_data, range(len(color_data))),
color_data = [(norm_s0(s[0]), norm_s1(s[1])) for s in board_raw]
clusters = k_means.cluster(3, 2,zip(color_data, range(len(color_data))),