| A tutorial on spectral clustering U Von Luxburg Statistics and computing 17, 395-416, 2007 | 11796 | 2007 |
| Advances in neural information processing systems P Wang, L Liu, Y Liu, C Theobalt, T Komura, WP Wang Curran Associates., 2021 | 3689* | 2021 |
| Consistency of spectral clustering U Von Luxburg, M Belkin, O Bousquet The Annals of Statistics, 555-586, 2008 | 720 | 2008 |
| From graphs to manifolds–weak and strong pointwise consistency of graph Laplacians M Hein, JY Audibert, U Von Luxburg International Conference on Computational Learning Theory, 470-485, 2005 | 389 | 2005 |
| Curran Associates I Guyon, UV Luxburg, S Bengio, H Wallach, R Fergus, S Vishwanathan, ... Inc.: Red Hook, NY, USA 30, 3149-3157, 2017 | 386 | 2017 |
| Clustering stability: an overview U Von Luxburg Foundations and Trends® in Machine Learning 2 (3), 235-274, 2010 | 364 | 2010 |
| Graph laplacians and their convergence on random neighborhood graphs. M Hein, JY Audibert, U Luxburg Journal of Machine Learning Research 8 (6), 2007 | 310 | 2007 |
| A sober look at clustering stability S Ben-David, U Von Luxburg, D Pál Learning Theory: 19th Annual Conference on Learning Theory, COLT 2006 …, 2006 | 299 | 2006 |
| Clustering: Science or art? U Von Luxburg, RC Williamson, I Guyon Proceedings of ICML workshop on unsupervised and transfer learning, 65-79, 2012 | 286 | 2012 |
| Statistical learning theory: Models, concepts, and results U Von Luxburg, B Schölkopf Handbook of the History of Logic 10, 651-706, 2011 | 259 | 2011 |
| Influence of graph construction on graph-based clustering measures M Maier, U Luxburg, M Hein Advances in neural information processing systems 21, 2008 | 215 | 2008 |
| Distance-Based Classification with Lipschitz Functions. U von Luxburg, O Bousquet J. Mach. Learn. Res. 5 (Jun), 669-695, 2004 | 213 | 2004 |
| Getting lost in space: Large sample analysis of the resistance distance U Luxburg, A Radl, M Hein Advances in neural information processing systems 23, 2010 | 171 | 2010 |
| Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003, Revised Lectures O Bousquet, U von Luxburg, G Rätsch Springer, 2011 | 164 | 2011 |
| Limits of spectral clustering U Luxburg, O Bousquet, M Belkin Advances in neural information processing systems 17, 2004 | 153 | 2004 |
| Clustering: Science or art I Guyon, U Von Luxburg, RC Williamson NIPS 2009 workshop on clustering theory, 1-11, 2009 | 152 | 2009 |
| Hitting and commute times in large random neighborhood graphs U Von Luxburg, A Radl, M Hein The Journal of Machine Learning Research 15 (1), 1751-1798, 2014 | 147 | 2014 |
| Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters M Maier, M Hein, U Von Luxburg Theoretical Computer Science 410 (19), 1749-1764, 2009 | 147 | 2009 |
| Curran Associates DD Lee, M Sugiyama, UV Luxburg, I Guyon, R Garnett Inc.: Red Hook, NY, USA 29, 4134-4142, 2016 | 137 | 2016 |
| Explaining the explainer: A first theoretical analysis of LIME D Garreau, U Luxburg International conference on artificial intelligence and statistics, 1287-1296, 2020 | 132 | 2020 |
