3 ms·
Sorry, I don't understand your argument. Could you clarify what you mean by "everything"? Is there another clustering algorithm you're thinking of?
by motiwari 4y ago
Sorry, I don't understand your argument. Could you clarify what you mean by "everything"? Is there another clustering algorithm you're thinking of?
- mnky9800n 4y agoi just mean that k-means is a rather simple algorithm for finding centroids. most algorithms that are more sophisticated might do better than k-means.
- motiwari 4y agoSorry for the late response. And actually, despite the plethora of clustering algorithms, k-means is still a very commonly-used out-of-the-box technique! (Probably for its simplicity and existing popularity)