On: Robust K-Means via Radius Upper Bounds

[belter]

"...Through qualitative results, we show that our proposed method is robust towards dataset imbalances and sampling artifacts. To the best of our knowledge, ours is the first constrained k-means clustering method with hard radius constraints..."

https://arxiv.org/pdf/2203.02502.pdf

https://github.com/AhmedImtiazPrio/radius-constrained-kmeans