| Fuzzy c-means algorithms for very large data TC Havens, JC Bezdek, C Leckie, LO Hall, M Palaniswami IEEE Transactions on Fuzzy Systems 20 (6), 1130-1146, 2012 | 431 | 2012 |
| Approximate kernel k-means: Solution to large scale kernel clustering R Chitta, R Jin, TC Havens, AK Jain Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 177 | 2011 |
| An efficient formulation of the improved visual assessment of cluster tendency (iVAT) algorithm TC Havens, JC Bezdek IEEE Transactions on Knowledge and Data Engineering 24 (5), 813-822, 2011 | 135 | 2011 |
| Roach infestation optimization TC Havens, CJ Spain, NG Salmon, JM Keller 2008 IEEE swarm intelligence symposium, 1-7, 2008 | 108 | 2008 |
| From interval-valued data to general type-2 fuzzy sets C Wagner, S Miller, JM Garibaldi, DT Anderson, TC Havens IEEE Transactions on Fuzzy Systems 23 (2), 248-269, 2014 | 88 | 2014 |
| Clustering ellipses for anomaly detection M Moshtaghi, TC Havens, JC Bezdek, L Park, C Leckie, S Rajasegarar, ... Pattern Recognition 44 (1), 55-69, 2011 | 88 | 2011 |
| A hybrid approach to clustering in big data D Kumar, JC Bezdek, M Palaniswami, S Rajasegarar, C Leckie, ... IEEE transactions on cybernetics 46 (10), 2372-2385, 2015 | 73 | 2015 |
| Relational generalizations of cluster validity indices IJ Sledge, JC Bezdek, TC Havens, JM Keller IEEE Transactions on Fuzzy Systems 18 (4), 771-786, 2010 | 52 | 2010 |
| A soft modularity function for detecting fuzzy communities in social networks TC Havens, JC Bezdek, C Leckie, K Ramamohanarao, M Palaniswami IEEE Transactions on Fuzzy Systems 21 (6), 1170-1175, 2013 | 48 | 2013 |
| Anomaly detection in environmental monitoring networks [application notes] JC Bezdek, S Rajasegarar, M Moshtaghi, C Leckie, M Palaniswami, ... IEEE Computational Intelligence Magazine 6 (2), 52-58, 2011 | 48 | 2011 |
| Learning fuzzy-valued fuzzy measures for the fuzzy-valued sugeno fuzzy integral DT Anderson, JM Keller, TC Havens International Conference on Information Processing and Management of …, 2010 | 47 | 2010 |
| Scalable single linkage hierarchical clustering for big data TC Havens, JC Bezdek, M Palaniswami 2013 IEEE eighth international conference on intelligent sensors, sensor …, 2013 | 46 | 2013 |
| Evaluating the use of unmanned aerial vehicles for transportation purposes C Brooks, R Dobson, D Banach, D Dean, T Oommen, R Wolf, T Havens, ... Report No. RC-1616, Michigan Department of Transportation, Michigan, Mich, USA, 2015 | 41 | 2015 |
| Regularization-based learning of the choquet integral DT Anderson, SR Price, TC Havens 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2519-2526, 2014 | 40 | 2014 |
| Dunn’s cluster validity index as a contrast measure of VAT images TC Havens, JC Bezdek, JM Keller, M Popescu 2008 19th international conference on pattern recognition, 1-4, 2008 | 40 | 2008 |
| Clustering in ordered dissimilarity data TC Havens, JC Bezdek, JM Keller, M Popescu International Journal of Intelligent Systems 24 (5), 504-528, 2009 | 39 | 2009 |
| Extension of the fuzzy integral for general fuzzy set-valued information DT Anderson, TC Havens, C Wagner, JM Keller, MF Anderson, ... IEEE Transactions on Fuzzy Systems 22 (6), 1625-1639, 2014 | 38 | 2014 |
| Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering TC Havens, R Chitta, AK Jain, R Jin 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 463-470, 2011 | 36 | 2011 |
| Is VAT really single linkage in disguise? TC Havens, JC Bezdek, JM Keller, M Popescu, JM Huband Annals of Mathematics and Artificial Intelligence 55 (3-4), 237, 2009 | 35 | 2009 |
| Efficient multiple kernel classification using feature and decision level fusion AJ Pinar, J Rice, L Hu, DT Anderson, TC Havens IEEE Transactions on Fuzzy Systems 25 (6), 1403-1416, 2016 | 34 | 2016 |
James M KellerProfessor of Electrical and Computer EngineeringVerified email at missouri.edu
