What are the drawbacks of traditional clustering algorithms? As a newbie, I am interested what the major drawbacks of traditional clustering algorithms are. The purpose is to understand for which class of data or in which scenarios I shouldn't use traditional clustering methods (e.g. K-means)
Check out this great answer for K-means in particular:
How to understand the drawbacks of K-means
My favorite resource for comparing the strengths and weaknesses of clustering algos is from sklearn's docs:
Comparing different clustering algorithms on toy datasets