Cluster Performance DBScan and agglomerative Clustering

Hello,

I want to try differnt clustering algorithms like k-means, DBSCAN and agglomertive Clustering on my Dataset and compare the results in order to select the "best" one. For validation of centroid based clustering I know there are the operators "Cluster Distance Performance" and "Cluster Density Performance". But what about Performance Evaluation for DBSCAN or agglomerative Clustering? How can I do this?

Is their still something like the Global Silhouette Index as used in "Rapid Miner - Data Mining Use Cases and Business Analytics Application" for this kind of problem?

Thanks for your help.