4 ms·
The problem with this approach is determining the what k is for the k-means. But again, we could use the “elbow” technique to determine what’s the optimal k and
by woodglyst 3y ago
The problem with this approach is determining the what k is for the k-means. But again, we could use the “elbow” technique to determine what’s the optimal k and then start grouping them together. I wonder if there are any automatic sophisticated clustering algorithms?
- memhole 3y agoHierarchical and DBSCAN don’t require upfront knowledge about the number of clusters.