¼Å§Ò¹·Ò§ÇÔªÒ¡ÒÃ
ª×èÍ-Ê¡ØżÙéªèÇÂÈÒʵÃÒ¨ÒÃÂì ´Ã. ³Ñ°¡Ò¹µì àÍÕèÂÁÍè͹

ÅӴѺ¼Å§Ò¹·Ò§ÇÔªÒ¡ÒÃ
1 P. Panwong, T. Boongoen and N. Iam-On,(2018) Improving Consensus Clustering with Noise-Induced Ensemble Generation: A Study of Uniform Random Noise, In Proceedings of International Conference on Machine Learning and Computing, pp. 390-395.
2 T. Boongoen and N. Iam-On,(2017) “A comparative review of graph-based ensemble clustering as transformation methods for microarray data classification”, In Computational Methods with Applications in Bioinformatics Analysis, edited by J. Tsai and K. Ng, World Scientific Publishing, pp. 53-71.
3 T. Boongoen and N. Iam-On,(2018) “Cluster Ensembles: A Survey of Approaches with Recent Extensions and Applications”, Computer Science Review, 28: 1-25.
4 T.Boongoen, N. Iam-On and B. Undara,(2016) “Improving Face Detection with Bi-Level Classification Model,” RTAFA Journal of Science and Technology, 12:52-63.
5 K. Sriwanna, T. Boongoen and N. Iam-On,(2017) “Graph clustering? based discretization of splitting and merging methods (GraphS and GraphM)”, Human-centric Computing and Information Sciences, 7(21): 1-39.
6 N. Iam-On and T. Boongoen,(2017) “Generating descriptive model for student dropout: a review of clustering approach”, Human-centric Computing and Information Sciences, 7(1): 1-24.
7 N. Iam-On and T. Boongoen,(2017) “Improved Student Dropout Prediction in Thai University using Ensemble of Mixed-Type Data Clusterings”, International Journal of Machine Learning and Cybernetics, 8(2): 497-510.
8 N. Iam-On and T. Boongoen,(2017) “Generating descriptive model for student dropout: a review of clustering approach”, Human-centric Computing and Information Sciences, 7(1): 1-24.
9 N. Iam-On and T. Boongoen,(2017) “Improved Student Dropout Prediction in Thai University using Ensemble of Mixed-Type Data Clusterings”, International Journal of Machine Learning and Cybernetics, 8(2): 497-510.
   
      
    contact staff : REG@MFU.AC.TH