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 | 592 | 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 | 229 | 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 | 180 | 2011 |
Roach infestation optimization TC Havens, CJ Spain, NG Salmon, JM Keller 2008 IEEE swarm intelligence symposium, 1-7, 2008 | 150 | 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 | 136 | 2014 |
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 | 131 | 2015 |
Clustering ellipses for anomaly detection M Moshtaghi, TC Havens, JC Bezdek, L Park, C Leckie, S Rajasegarar, ... Pattern Recognition 44 (1), 55-69, 2011 | 109 | 2011 |
Enabling explainable fusion in deep learning with fuzzy integral neural networks MA Islam, DT Anderson, AJ Pinar, TC Havens, G Scott, JM Keller IEEE Transactions on Fuzzy Systems 28 (7), 1291-1300, 2019 | 75 | 2019 |
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 | 71 | 2013 |
Evaluating the use of unmanned aerial vehicles for transportation purposes:[parts AD]. C Brooks, RJ Dobson, DM Banach, D Dean, T Oommen, RE Wolf, ... Michigan. Dept. of Transportation. Office of Research and Best Practices, 2015 | 69 | 2015 |
Scalable single linkage hierarchical clustering for big data TC Havens, JC Bezdek, M Palaniswami 2013 IEEE eighth international conference on intelligent sensors, sensor …, 2013 | 66 | 2013 |
Sensor fused three-dimensional localization using IMU, camera and LiDAR H Deilamsalehy, TC Havens 2016 IEEE SENSORS, 1-3, 2016 | 65 | 2016 |
Relational generalizations of cluster validity indices IJ Sledge, JC Bezdek, TC Havens, JM Keller IEEE Transactions on Fuzzy Systems 18 (4), 771-786, 2010 | 58 | 2010 |
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 | 55 | 2016 |
Learning fuzzy-valued fuzzy measures for the fuzzy-valued sugeno fuzzy integral DT Anderson, JM Keller, TC Havens Computational Intelligence for Knowledge-Based Systems Design: 13th …, 2010 | 55 | 2010 |
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 | 54 | 2014 |
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 | 53 | 2011 |
Clustering in ordered dissimilarity data TC Havens, JC Bezdek, JM Keller, M Popescu International Journal of Intelligent Systems 24 (5), 504-528, 2009 | 53 | 2009 |
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 | 51 | 2008 |
Aperture-level simultaneous transmit and receive with digital phased arrays IT Cummings, JP Doane, TJ Schulz, TC Havens IEEE Transactions on Signal Processing 68, 1243-1258, 2020 | 49 | 2020 |