A link-based approach to the cluster ensemble problem N Iam-On, T Boongoen, S Garrett, C Price IEEE transactions on pattern analysis and machine intelligence 33 (12), 2396 …, 2011 | 228 | 2011 |
A link-based cluster ensemble approach for categorical data clustering N Iam-On, T Boongeon, S Garrett, C Price IEEE Transactions on knowledge and data engineering 24 (3), 413-425, 2010 | 147 | 2010 |
LCE: a link-based cluster ensemble method for improved gene expression data analysis N Iam-On, T Boongoen, S Garrett Bioinformatics 26 (12), 1513-1519, 2010 | 137 | 2010 |
Cluster ensembles: A survey of approaches with recent extensions and applications T Boongoen, N Iam-On Computer Science Review 28, 1-25, 2018 | 136 | 2018 |
Refining pairwise similarity matrix for cluster ensemble problem with cluster relations N Iam-On, T Boongoen, S Garrett Discovery Science: 11th International Conference, DS 2008, Budapest, Hungary …, 2008 | 93 | 2008 |
Nearest-neighbor guided evaluation of data reliability and its applications T Boongoen, Q Shen IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2010 | 79 | 2010 |
Cluster-based KNN missing value imputation for DNA microarray data P Keerin, W Kurutach, T Boongoen 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012 | 65 | 2012 |
Improved student dropout prediction in Thai University using ensemble of mixed-type data clusterings N Iam-On, T Boongoen International Journal of Machine Learning and Cybernetics 8, 497-510, 2017 | 64 | 2017 |
Extending data reliability measure to a filter approach for soft subspace clustering T Boongoen, C Shang, N Iam-On, Q Shen IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011 | 63 | 2011 |
Generating descriptive model for student dropout: a review of clustering approach N Iam-On, T Boongoen Human-centric Computing and Information Sciences 7, 1-24, 2017 | 60 | 2017 |
Disclosing false identity through hybrid link analysis T Boongoen, Q Shen, C Price Artificial Intelligence and Law 18, 77-102, 2010 | 51 | 2010 |
Comparative study of matrix refinement approaches for ensemble clustering N Iam-On, T Boongoen Machine Learning 98, 269-300, 2015 | 42 | 2015 |
Prediction of student dropout using personal profile and data mining approach P Meedech, N Iam-On, T Boongoen Intelligent and Evolutionary Systems: The 19th Asia Pacific Symposium, IES …, 2016 | 41 | 2016 |
Clus-DOWA: A new dependent OWA operator T Boongoen, Q Shen 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on …, 2008 | 33 | 2008 |
Clustering data with the presence of missing values by ensemble approach M Pattanodom, N Iam-On, T Boongoen 2016 second asian conference on defence technology (acdt), 151-156, 2016 | 29 | 2016 |
Diversity-driven generation of link-based cluster ensemble and application to data classification N Iam-On, T Boongoen Expert Systems with Applications 42 (21), 8259-8273, 2015 | 27 | 2015 |
Evidence directed generation of plausible crime scenarios with identity resolution X Fu, T Boongoen, Q Shen Applied Artificial Intelligence 24 (4), 253-276, 2010 | 26 | 2010 |
Fuzzy orders-of-magnitude-based link analysis for qualitative alias detection Q Shen, T Boongoen IEEE Transactions on Knowledge and Data Engineering 24 (4), 649-664, 2010 | 24 | 2010 |
Graph clustering-based discretization of splitting and merging methods (GraphS and GraphM) K Sriwanna, T Boongoen, N Iam-On Human-centric Computing and Information Sciences 7 (1), 1-39, 2017 | 21 | 2017 |
A cluster-directed framework for neighbour based imputation of missing value in microarray data P Keerin, W Kurutach, T Boongoen International Journal of Data Mining and Bioinformatics 15 (2), 165-193, 2016 | 18 | 2016 |