1. Approximating extent measures of points;Agarwal;Journal of the ACM,2004
2. Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework;Alcalá;Journal of Multiple-Valued Logic and Soft Computing,2010
3. k-means++: The advantages of careful seeding;Arthur,2007
4. A comparative study of efficient initialization methods for the k-means clustering algorithm;Celebi;Expert Systems with Applications,2013
5. Scalable training of mixture models via coresets;Feldman,2011