top | item 35363078 (no title) motiwari | 2 years 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? discuss order hn newest mnky9800n|2 years ago i 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|2 years ago Sorry 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)
mnky9800n|2 years ago i 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|2 years ago Sorry 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)
motiwari|2 years ago Sorry 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)
mnky9800n|2 years ago
motiwari|2 years ago