Hi there,
I have a question concerning the kmeans method for clustering data-points. By default this method uses the L2 norm (euclidean distance) to cluster the provided data. Is there any possibility for using another distance metric?
1 | initial version |
Hi there,
I have a question concerning the kmeans method for clustering data-points. By default this method uses the L2 norm (euclidean distance) to cluster the provided data. Is there any possibility for using another distance metric?