Edited by author 10-30-2001 03:29 AM
Question:
1.What is the disadvantage of the nonsymmetric dissimilarity measurement?

2.Will the feature space selected in the dissimilarity measurement influence the performance? If not, it is really good, but if yes, I think when using such measurements in real application, such as Anand's idea about combining it with the EM algorithm, the key becomes the feature selection part, which is also an important issue in clustering.
 
I think one of the most contribution of the paper is its systematic methodology in dealing with benchmark comparison stuff.