I am looking for a proper method to choose the number of clusters for K modes.
I tried to find the optimal number of clusters by maximizing the average silhouette width though.
In k-modes, the average silhouette width increases with the increase of the number of clusters with my case.
So i tried to derive the elbow plot and I got the attached graph.
It is quite hard to which point is the location of a bend in this plot..
In this case, how can I choose the best number of groups?
and Can anyone introduce better method that help choose the optimal number of clusters for K-modes?
Best Answer
The elbow is at 4.
Afterwards, the drop follows the usual behavior of random data and 1/x curves.
Since the elbow is not very prominent, the results likely are not very good, and you need to evaluate other preprocessing and clustering methods if they work better.