Feature contribution in clustering

[manwarA]

Hi, BS831 is really nice resource for learning, however, I am not writing this for an issue, but I like to know how to determine the features that contribute most towards the cluster during clustering using ConsensusClusterPlus (or for that matter any clustering algorithm)?

I have a dataset with 928 rows * 473 columns (sample), but when I looked at the consensus matrix, the dimension does not match (matrix dim ~ 473 * 473). I know this is not your package, but I hope I could get some hints on how to address this issue.

Best,