Data Science Stack Exchange is a question and answer site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field. It only takes a minute to sign up.
Sign up to join this community
I have used K means clustering. In order to find the best value for K, I've looked at the changes of inertia value vs K and also changes of average Silhouette number vs K. The graph for inertia seems to indicate there are 5 clusters in the data. However, the average Silhouette number reaches a minimum at 5. So, how does one interpret this? If there are 5 clusters in the data, shouldn't the average Silhouette number have a maximum at 5 (not a minimum)?
Thanks
These are only heuristics.
These are not very reliable metrics, and often fail. They will not detect if you did not preprocess your data well.
So instead of looking at some number, look at your data instead.
