| Fast and robust general purpose clustering algorithms V Estivill-Castro, J Yang Pacific Rim International Conference on Artificial Intelligence, 208-218, 2000 | 202* | 2000 |
| Support vector clustering through proximity graph modelling J Yang, V Estivill-Castro, SK Chalup Proceedings of the 9th International Conference on Neural Information …, 2002 | 136 | 2002 |
| Common clustering algorithms I Lee, J Yang Elsevier 2, 577-618, 2009 | 84 | 2009 |
| Fast and robust general purpose clustering algorithms V Estivill-Castro, J Yang Data Mining and Knowledge Discovery 8, 127-150, 2004 | 68 | 2004 |
| Categorizing visitors dynamically by fast and robust clustering of access logs V Estivill-Castro, J Yang Asia-Pacific Conference on Web Intelligence, 498-507, 2001 | 20 | 2001 |
| Cluster validity using support vector machines V Estivill-Castro, J Yang International Conference on Data Warehousing and Knowledge Discovery, 244-256, 2003 | 17 | 2003 |
| Cluster validity through graph-based boundary analysis J Yang, I Lee CSREA Press, 2004 | 14 | 2004 |
| Unsupervised data mining: introduction D Coomans, C Smyth, I Lee, T Hancock, J Yang Elsevier 2, 559-576, 2009 | 11 | 2009 |
| Y., EC, and Stephan, KC,(2003). Support Vector clustering Through Proximity Graph Modeling J Vladimir IEEE 2, 898-903, 0 | 11 | |
| Clustering Web Visitors by Bast, Robust and Convergent Algorithms V Estivill-Castro, J Yang International Journal of Foundations of Computer Science 13 (04), 497-520, 2002 | 7 | 2002 |
| Voronoi-based topological information for combining partitioning and hierarchical clustering I Lee, J Yang International Conference on Computational Intelligence for Modelling …, 2005 | 4 | 2005 |
| Non-crisp clustering by fast, convergent, and robust algorithms V Estivill-Castro, J Yang Principles of Data Mining and Knowledge Discovery: 5th European Conference …, 2001 | 3* | 2001 |
| Iterative class diagram construction in consideration of modeling granularity J Yang, B Unhelkar 2010 Fourth International Conference on Research Challenges in Information …, 2010 | 2 | 2010 |
| Hybrid O () Clustering for Sequential Web Usage Mining J Yang, I Lee Australasian Joint Conference on Artificial Intelligence, 1022-1026, 2006 | 2 | 2006 |
| Hybrid clustering for large sequential data J Yang, I Lee ISRST, 2007 | | 2007 |
| Hybrid agglomerative clustering for large databases: an efficient interactivity approach I Lee, J Yang AI 2005: Advances in Artificial Intelligence: 18th Australian Joint …, 2005 | | 2005 |
