I am running a cmeans analysis on a series of 20k document embeddings, with the number of clusters set to 400.
For m (fuzziness parameter) from 2-4, the algorithm completes in hours, however for m <1.5 it is taking days?
I am struggling to understand why this is the case? in my understanding of thigs, m should contribute little to compute time
