Before revision: Some researchers have proposed using non-Euclidean metrics for clustering data points . Generally, the metric should recognize that two points in the same cluster are close , even if their Euclidean distance is far.
After revision: Some researchers have proposed using non-Euclidean metrics for clustering data points . Generally, the metric should recognize that two points in the same cluster are short , even if their Euclidean distance is far.