Find the optimal number of K in clustering
Hi everyone.
i want to determine the optimal number of k in clustering. i applied silhouette criteria. but all of my Avg. within centroid distance according to different numbers of k are negative.
how can i choose the best one between this negative numbers.
i want to determine the optimal number of k in clustering. i applied silhouette criteria. but all of my Avg. within centroid distance according to different numbers of k are negative.
how can i choose the best one between this negative numbers.
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Did you try the x-means operator? This does not use the silhouette method but instead uses AIC/BIC penalties for adding additional clusters. It is usually a good operator to check if you don't have a strong a priori preference for your k value.