Firstly, I know some scores like silhouette score and Davies–Bouldin score to compare the performance in one clustering method. However, I am not sure how to compare results in different clustering methods.
For example, I can use silhouette results to show which is better when setting the number of cluster in K-means. However, I cannot say that K-means is better than DBSCAN if the score is higher or lower... So any advice?
