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Vol: 55(69) No: 1 / March 2010 Clustering of Users Behaviour in IEC Font Design M. Kuzma Center for Intelligent Technologies, Technical University of Kosice, Kosice, Slovakia, e-mail: miron.kuzma@gmail.com R. Jakša Center for Intelligent Technologies, Technical University of Kosice, Kosice, Slovakia, e-mail: jaksa@neuron.tuke.sk P. Sinčák Center for Intelligent Technologies, Technical University of Kosice, Kosice, Slovakia, e-mail: peter.sincak@tuke.sk Keywords: Clustering of Users Behaviour Abstract Clustering of users behaviour in IEC systems allows to build larger datasets, while not destroying users’s individual characteristics. If we group similar users together, their collective behaviour is preserved. Within such a group of users we collect more data than from single individual user. Clustering algorithm is used to find, which users behaviuor is similar. In this paper we present application of users behaviour clustering in IEC font desing. We evaluated impact of clustering on behaviuor modelling using ten users data from computer modern latex font interactive design. References [1] H. Takagi, Interactive Evolutionary Computing: Fusion of the Capacities of EC Optimization and Human Evaluation Proc. of 7th Workshop on Evaluation of Heart and Mind, KitaKyushu, Fukuoka, (November 8-9, 2002)(in Japanese) [2] JAKˇSA, Rudolf; TAKAGI Hideyuki, Tuning of Image Parameters by Interactive Evolutionary Computation Proc. of 2003 IEEE International Conference on Systems, Man & Cybernetics, (SMC2003), Washington D.C., (October 5-8, 2003) [3] JAKˇSA, Rudolf; TAKAGI Hideyuki; NAKANO Shota, Image Filter Design with Interactive Evolutionary Computation Proc. of the IEEE International Conference on Computational Cybernetics, (ICCC2003), ISBN 963 7154 175, Siofok, Hungary [4] NEUPAUER, Marek, Analysis of Medical Data using Interactive Evolutionary Computation Master’s Thesis, Koˇsice, Technical University of Koˇsice, Faculty of Electrical Engineering and Informatics, Department of Cybernetics and Artificial Intelligence [5] GAJDOˇ S, Miroslav, Reduction of Human Fatigue in IEC with Neural Networks for Graphic Banner Design Master’s Thesis, Koˇsice, Technical University of Koˇsice, Faculty of Electrical Engineering and Informatics, Department of Cybernetics and Artificial Intelligence [6] KOV´ACˇ , Ju´lius, Image Database Search Using Self-Organizing Maps and Multi-scale Representation Master’s Thesis, Koˇsice, Technical University of Koˇsice, Faculty of Electrical Engineering and Informatics, Department of Cybernetics and Artificial Intelligence [7] PANGRA´ C, Lˇ ubom´ır, Interactive Evolutionary Computation for Satellite Image Processing Master’s Thesis, Koˇsice, Technical University of Koˇsice, Faculty of Electrical Engineering and Informatics, Department of Cybernetics and Artificial Intelligence [8] J. Dolinsk´y, and H. Takagi, Synthesizing Handwritten Characters using Naturalness Learning Proceedings of ICCC 2007, 2007. [9] R. Hecht-Nielsen, Counterpropagation networks, Applied Optics, Vol. 26, Issue 23, 1987, pp. 4979-4983. [10] R. A. Jacobs, M. I. Jordan, S. J. Nowlan, G. E. Hinton, Adaptive Mixtures of Local Experts, Neural Computation, No.3, 1991, pp. 79-87. [11] Sz. Kov´acs, N. Kubota, K. Fujii and L.T. K´oczy, Behaviour based techniques in user adaptive Kansei technology, Proceedings of the VSMM2000, 6th International Conference on Virtual Systems and Multimedia, Ogaki, Japan, October 2000, pp.362-369. [12] Sz. Kov´acs, Fuzzy Reasoning and Fuzzy Automata in User Adaptive Emotional and Information Retrieval Systems, Proceedings of the 2002 IEEE International Conference on Systems, Man and Cybernetics, Hammamet, Tunisia, October 2002. [13] M. Kuzma, R. Jakˇsa, and P. Sinˇc´ak, Computational Intelligence in Font Design, Computational Intelligence and Informatics: Proceedings of the 9th International Symposium of Hungarian Researchers, Budapest, November 2008, pp.193-203. [14] M. Kuzma, Interactive Evolution of Fonts, masters thesis, Technical University of Koˇsice, 2008. [15] H. Takagi, N. Suzuki, T. Koda, Y. Kojima, Neural Networks Designed on Approximate Reasoning Architecture and Their Applications, IEEE Transactions on Neural Networks, Vol.3, No.5, September 1992, pp. 752-760 |