How can we choose a "good" K for K-means clustering?

Another quite standard technique is called'Cluster Validity Index', Here are the two famous papers, Part1 [3] and Part2 [4]. Basically these methods perform internal evaluation of the quality of clusters, after the clustering is performed. For e.g. one common method called Dunn's method