Workplace Accidents Analysis with a Coupled Clustering Methods: S.O.M. and K-means Algorithms
暂无分享,去创建一个
[1] Mahdi Alikhani,et al. Presentation of clustering-classification heuristic method for improvement accuracy in classification of severity of road accidents in Iran , 2013 .
[2] Eric Séverin,et al. Self organizing maps in corporate finance: Quantitative and qualitative analysis of debt and leasing , 2010, Neurocomputing.
[3] Iván Pastor Sanz,et al. Self-organizing maps as a tool to compare financial macroeconomic imbalances: The European, Spanish and German case , 2013 .
[4] Melih Inal,et al. Comparison of neural network application for fuzzy and ANFIS approaches for multi-criteria decision making problems , 2014, Appl. Soft Comput..
[5] Kate Smith-Miles,et al. Web page clustering using a self-organizing map of user navigation patterns , 2003, Decis. Support Syst..
[6] Norberto Piccinini,et al. Self-Organizing Map and clustering algorithms for the analysis of occupational accident databases , 2011 .
[7] Sargur N. Srihari,et al. Binary Vector Dissimilarity Measures for Handwriting Identification , 2003, IS&T/SPIE Electronic Imaging.
[8] Esa Alhoniemi,et al. Clustering of the self-organizing map , 2000, IEEE Trans. Neural Networks Learn. Syst..
[9] Ali Asgary,et al. Modeling the risk of structural fire incidents using a self-organizing map , 2012 .
[10] Mustapha Lebbah,et al. Clustering of Self-Organizing Map , 2008, ESANN.
[11] Paul Gray,et al. Introduction to Data Mining and Knowledge Discovery , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.
[12] Daniel T. Larose,et al. Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .
[13] Samuel Kaski,et al. Self organization of a massive document collection , 2000, IEEE Trans. Neural Networks Learn. Syst..