| 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 | 238 | 2011 |
| Cluster ensembles: A survey of approaches with recent extensions and applications T Boongoen, N Iam-On Computer Science Review 28, 1-25, 2018 | 152 | 2018 |
| 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 | 144 | 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 | 142 | 2010 |
| 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 | 96 | 2008 |
| Linkclue: A matlab package for link-based cluster ensembles N Iam-On, S Garrett Journal of Statistical Software 36, 1-36, 2010 | 84 | 2010 |
| 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 | 67 | 2011 |
| 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 | 66 | 2017 |
| 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 | 65 | 2017 |
| Comparative study of matrix refinement approaches for ensemble clustering N Iam-On, T Boongoen Machine Learning 98, 269-300, 2015 | 43 | 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 | 42 | 2016 |
| 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 | 31 | 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 | 28 | 2015 |
| Predicting transitional interval of kidney disease stages 3 to 5 using data mining method P Panwong, N Iam-On 2016 second Asian conference on defence technology (ACDT), 145-150, 2016 | 24 | 2016 |
| 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 | 22 | 2017 |
| Improving consensus clustering with noise-induced ensemble generation P Panwong, T Boongoen, N Iam-On Expert Systems with Applications 146, 113138, 2020 | 20 | 2020 |
| Embedded YARA rules: strengthening YARA rules utilising fuzzy hashing and fuzzy rules for malware analysis N Naik, P Jenkins, N Savage, L Yang, T Boongoen, N Iam-On, K Naik, ... Complex & Intelligent Systems 7, 687-702, 2021 | 18 | 2021 |
| Fuzzy-import hashing: A static analysis technique for malware detection N Naik, P Jenkins, N Savage, L Yang, T Boongoen, N Iam-On Forensic Science International: Digital Investigation 37, 301139, 2021 | 16 | 2021 |
| Fuzzy-Import Hashing: A malware analysis approach N Naik, P Jenkins, N Savage, L Yang, T Boongoen, N Iam-On 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2020 | 16 | 2020 |
| Clustering data with the presence of attribute noise: a study of noise completely at random and ensemble of multiple k-means clusterings N Iam-On International journal of machine learning and cybernetics 11, 491-509, 2020 | 16 | 2020 |
Tossapon BoongoenDepartment of Computer Science, Aberystwyth UniversityVerified email at aber.ac.uk
