1. Clusterability: a theoretical study;Ackerman,2009
2. Algorithms for stable and perturbation-resilient problems;Angelidakis,2017
3. kmeans++: the advantages of careful seeding;Arthur,2007
4. Representation learning for clustering: a statistical framework;Ashtiani,2015
5. Clustering with same-cluster queries;Ashtiani,2016