Clustering Metrics for large data I have a dataset containing 150k rows and 10 columns. After clustering, I would like to get clustering metrics. Below are lists of metrics that I would like to use>

 "C_index", "Calinski_Harabasz", "Davies_Bouldin", "S_Dbw", "Silhouette"


I have a problem. I've tried getting values using clusterCrit (from R) and sklearn (from python), but when I tried to get each value by using clusterCrit, it took a huge amount of time, so I couldn't get it.

I think this is because of the large data (my RAM is 8GB). Is there any way for me to get these values?
Just use a subsample of your data.

There is little use in evaluating (nor clustering, usually) the entire data set. It's highly redundant. Trying to scale this to the entire data set is a waste of time.