1. Scalable and distributed clustering via lightweight core-sets;Bachem;stat,2017
2. Bachem, O., Lucic, M., and Krause, A. (2017 b). Practical coreset constructions for machine learning. arXiv preprint arXiv:1703.06476.
3. Bahmani, B., Moseley, B., Vattani, A., Kumar, R., and Vassilvitskii, S. (2012). Scalable k-means++. arXiv preprint arXiv:1203.6402.
4. Monomial cubature rules since “stroud”: a compilation;Cools;Journal of Computational and Applied Mathematics,1993
5. Committee-based sampling for training probabilistic classifiers;Dagan,1995