Determination of optimal clusters using a genetic algorithm

Data Mining and Knowledge Discovery Technologies

Volumn , Issue , 2008, Pages 98-117

  Tushar, ^a   Roy, Shibendu Shekhar ^a,b   Pratihar, Dilip Kumar ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84900143800     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59904-960-1.ch005     Document Type: Chapter

References (12)

1. Bezdek, J. C. (1981). Pattern recognition with fuzzy objective function algorithms. New York: Plenum Press.
2. Dunn, J. C. (1974). A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. Journal of Cybernetics, 3, 32-57.
3. Dutta, P., & Pratihar, D. K. (2006). Some studies on mapping methods. International Journal on Business Intelligence and Data Mining, 1(3), 347-370.
4. Ganjigatti, J. P. (2006). Application of statistical methods and fuzzy logic techniques to predict bead geometry in welding. PhD thesis, Indian Institute of Technology, Kharagpur, India.
5. Goldberg, D. E. (1989). Genetic algorithms in search, optimization, machine learning. Reading, MA: Addison-Wesley.
6. Haykin, S. (1999). Neural networks. Pearson Education.
7. Hruschkra, E. R., Campello, R. J. G. B., & de Castro, L. N. (2004). Evolutionary search for optimal fuzzy C-means clustering. Proceedings of the FUZZ-IEEE Conference (pp. 685-690). Budapest, Hungary.
8. Jain, V. K., & Adsul, S. G. (2000). Experimental investigations into abrasive flow machining. International Journal of machine Tools and Manufacture, 40, 1003-1021.
9. Jain, R.K., & Jain, V.K. (2000). Optimum selection of machining conditions in abrasive flow machining using neural networks. Journal of Materials Processing Technology, 108, 62-67.
10. Juang, S. C., Tarng, Y. S., & Lii, H. R. (1998). A comparison between the back-propagation and counter-propagation networks in the modeling of the TIG welding process. Journal of Materials Processing Technology, 75, 54-62.
11. Kohonen, T. (1995). Self-organizing maps. Heidelberg: Springer-Verlag.
12. Yao, J., Dash, M., Tan, S. T., & Liu, H. (2000). Entropy-based fuzzy clustering and fuzzy modeling. Fuzzy Sets and Systems, 113, 381-388.