Numpy includes an argsort function which will return all the indices. If I understand your requirement correctly, you should be able to do:
argsort
minidx = []for cluster in sumErrors: minidx.append(np.argsort(cluster)[:3])
numpy.argpartition(cluster, 3) would be much more effective.
numpy.argpartition(cluster, 3)