i would like to see comparisons to k-means++. k-means is rarely the bottleneck in most modern algorithms, instead it's the multiple runs or seeding of kmeans to determine a stable 'good' solution that takes the lion's share of processing time. If this avoids the km++ seeding process while achieving similarly accuracy and stability, then this is would be a great practical improvement.