Refining initial points for k-means clustering. PS Bradley, UM Fayyad ICML 98, 91-99, 1998 | 1874 | 1998 |
Feature selection via concave minimization and support vector machines. PS Bradley, OL Mangasarian ICML 98, 82-90, 1998 | 1458 | 1998 |
Scaling mining algorithms to large databases P Bradley, J Gehrke, R Ramakrishnan, R Srikant Communications of the ACM 45 (8), 38-43, 2002 | 1333 | 2002 |
Constrained k-means clustering PS Bradley, KP Bennett, A Demiriz Microsoft Research, Redmond 20 (0), 0, 2000 | 651 | 2000 |
Apparatus and accompanying methods for visualizing clusters of data and hierarchical cluster classifications DE Heckerman, PS Bradley, DM Chickering, CA Meek US Patent 7,333,998, 2008 | 499 | 2008 |
Clustering via concave minimization P Bradley, O Mangasarian, W Street Advances in neural information processing systems 9, 1996 | 441 | 1996 |
Mathematical programming for data mining: Formulations and challenges PS Bradley, UM Fayyad, OL Mangasarian INFORMS Journal on Computing 11 (3), 217-238, 1999 | 382 | 1999 |
K-plane clustering PS Bradley, OL Mangasarian Journal of Global optimization 16, 23-32, 2000 | 373 | 2000 |
Initialization of Iterative Refinement Clustering Algorithms. UM Fayyad, C Reina, PS Bradley KDD, 194-198, 1998 | 312 | 1998 |
Apparatus and accompanying methods for visualizing clusters of data and hierarchical cluster classifications DE Heckerman, PS Bradley, DM Chickering, CA Meek US Patent 6,742,003, 2004 | 305 | 2004 |
Feature selection via mathematical programming PS Bradley, OL Mangasarian, WN Street INFORMS Journal on Computing 10 (2), 209-217, 1998 | 300 | 1998 |
Scaling EM (expectation-maximization) clustering to large databases PS Bradley, U Fayyad, C Reina Microsoft Research, 0-25, 1998 | 281 | 1998 |
Massive data discrimination via linear support vector machines PS Bradley, OL Mangasarian Optimization methods and software 13 (1), 1-10, 2000 | 266 | 2000 |
Compressed data cubes for olap aggregate query approximation on continuous dimensions J Shanmugasundaram, U Fayyad, PS Bradley Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999 | 225 | 1999 |
Efficient discovery of error-tolerant frequent itemsets in high dimensions C Yang, U Fayyad, PS Bradley Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 202 | 2001 |
Scalable system for clustering of large databases U Fayyad, PS Bradley, C Reina US Patent 6,374,251, 2002 | 191 | 2002 |
Scalable system for expectation maximization clustering of large databases U Fayyad, PS Bradley, C Reina US Patent 6,263,337, 2001 | 147 | 2001 |
Data clustering using error-tolerant frequent item sets C Yang, UM Fayyad, PS Bradley US Patent 6,567,936, 2003 | 144 | 2003 |
Varying cluster number in a scalable clustering system for use with large databases PS Bradley, U Fayyad US Patent 6,449,612, 2002 | 137 | 2002 |
Scalable system for K-means clustering of large databases U Fayyad, PS Bradley, C Reina US Patent 6,012,058, 2000 | 124 | 2000 |