1. Preconditioned data sparsification for big data with applications to PCA and K-means;Pourkamali-Anaraki;IEEE Transactions on Information Theory,2017
2. Scalable K-means clustering via lightweight coresets;Bachem,2018
3. A geometric analysis of subspace clustering with outliers;Soltanolkotabi;The Annals of Statistics,2012
4. Sparse and low-rank methods;Vidal,2016
5. Sparse subspace clustering: Algorithm, theory, and applications;Elhamifar;IEEE Transactions on Pattern Analysis and Machine Intelligence,2013