There are few well known measures like silhouette width (SW), the Davies- Bouldin index (DB), the Calinski-Harabasz index (CH), and the Dunn index .
How can we say that a clustering quality measure is good?
Is there some kind of metric for the clustering quality measure to be good?
"algorithms that produce clusters with high Dunn index are more desirable" -Wikipedia
"Objects with a high silhouette value are considered well clustered" -Wikipedia
"clustering algorithm that produces a collection of clusters with the smallest Davies–Bouldin index is considered the best algorithm" -Wikipedia
How high or low these values should be ?Is there a metric number ?