| Non-Exhaustive, Overlapping Clustering JJ Whang, Y Hou, DF Gleich, IS Dhillon IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (11), 2644 …, 2019 | 56 | 2019 |
| Mining and modeling character networks A Bonato, DR D’Angelo, ER Elenberg, DF Gleich, Y Hou Algorithms and Models for the Web Graph: 13th International Workshop, WAW …, 2016 | 38 | 2016 |
| Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming Y Hou, JJ Whang, DF Gleich, IS Dhillon Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 20 | 2015 |
| Model reduction with MapReduce-enabled tall and skinny singular value decomposition PG Constantine, DF Gleich, Y Hou, J Templeton SIAM Journal on Scientific Computing 36 (5), S166-S191, 2014 | 19 | 2014 |
| Fast multiplier methods to optimize non-exhaustive, overlapping clustering Y Hou, JJ Whang, DF Gleich, IS Dhillon Proceedings of the 2016 SIAM International Conference on Data Mining, 297-305, 2016 | 6 | 2016 |
| Scalable data analytics platform for enterprise backup management Y Song, R Routray, Y Hou 2014 IEEE Network Operations and Management Symposium (NOMS), 1-7, 2014 | 5 | 2014 |
| Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks Y Hou, D Wang, B Hu, R Zhuang, Z Zhang, J Zhou, F Zhao, Y Kang, ... International Conference on Database Systems for Advanced Applications, 544-555, 2023 | | 2023 |
| Low rank methods for optimizing clustering Y Hou Purdue University, 2016 | | 2016 |
David GleichPurdue UniversityVerified email at purdue.edu
