informИнформатикаInformatics1816-03012617-6963UIIP NASBinform-518Research ArticleОБРАБОТКА СИГНАЛОВ, ИЗОБРАЖЕНИЙ, РЕЧИ, ТЕКСТА И РАСПОЗНАВАНИЕ ОБРАЗОВSIGNAL, IMAGE, SPEECH, TEXT PROCESSING AND PATTERN RECOGNITIONЭВОЛЮЦИОННЫЙ МЕТОД НЕЧЕТКОЙ КЛАСТЕРИЗАЦИИНовоселоваН. А.ТомИ. Э.Объединенный институт проблем информатики НАН БеларусиBelarus20091910201803(23)5567Copyright © Новоселова Н.А., Том И.Э., 20182018Новоселова Н.А., Том И.Э.Новоселова Н.А., Том И.Э.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://inf.grid.by/jour/article/view/518ReferencesJain, A.K. Algorithms for clustering data / A.K. Jain, R.C. Dubes. – Englewood Cliffs : Prentice-Hall, 1988. – 334 p.Jain, A.K. Algorithms for clustering data / A.K. Jain, R.C. Dubes. – Englewood Cliffs : Prentice-Hall, 1988. – 334 p.Bezdek, J.C. Pattern recognition with fuzzy objective function algorithms / J.C. Bezdek. – N.Y. : Kluwer Academic Publishers, 1981. – 272 p.Bezdek, J.C. Pattern recognition with fuzzy objective function algorithms / J.C. Bezdek. – N.Y. : Kluwer Academic Publishers, 1981. – 272 p.Fuzzy Cluster Analysis / F. Hoppner [et al.]. – John Wiley and Sons, 1999. – 289 p.Fuzzy Cluster Analysis / F. Hoppner [et al.]. – John Wiley and Sons, 1999. – 289 p.Bezdek, J.C. Statistical parameters of cluster validity functionals / J.C. Bezdek, M.P. Windham, R. Elrich // International Journal of Parallel Programming. – 1980. – Vol. 9, № 4. – P. 323–336.Bezdek, J.C. Statistical parameters of cluster validity functionals / J.C. Bezdek, M.P. Windham, R. Elrich // International Journal of Parallel Programming. – 1980. – Vol. 9, № 4. – P. 323–336.Bezdek, J.C. Norm-induced shell-prototypes (NISP) clustering / J.C. Bezdek, R.J. Hathaway, N.R. Pal // Neural, parallel and scientific computations. – 1995. – № 3. – P. 431–450.Bezdek, J.C. Norm-induced shell-prototypes (NISP) clustering / J.C. Bezdek, R.J. Hathaway, N.R. Pal // Neural, parallel and scientific computations. – 1995. – № 3. – P. 431–450.Xie, X.L. A Validity Measure for Fuzzy Clustering / X.L. Xie, G. Beni // IEEE Transactions on Pattern Analysis and Machine Intelligence. – 1991. – Vol. 13, № 4. – P. 841–846.Xie, X.L. A Validity Measure for Fuzzy Clustering / X.L. Xie, G. Beni // IEEE Transactions on Pattern Analysis and Machine Intelligence. – 1991. – Vol. 13, № 4. – P. 841–846.Smyth, P. Clustering using Monte Carlo Cross-Validation / P. Smyth // Proceedings of the Second International Conference on Knowledge Discovery and Data Mining. – CA, Menlo Park : AAAI Press, 1996. – P. 126–133.Smyth, P. Clustering using Monte Carlo Cross-Validation / P. Smyth // Proceedings of the Second International Conference on Knowledge Discovery and Data Mining. – CA, Menlo Park : AAAI Press, 1996. – P. 126–133.Novoselova, N. Supervised fuzzy clustering using genetic algorithm for the fuzzy classifier construction / N. Novoselova // Искусственный интеллект. – 2007. – № 4. – С. 343–351.Novoselova, N. Supervised fuzzy clustering using genetic algorithm for the fuzzy classifier construction / N. Novoselova // Искусственный интеллект. – 2007. – № 4. – С. 343–351.Hruschka, E.R. A genetic algorithm for cluster analysis / E.R. Hruschka, N.F.F. Ebecken // Intelligent data analysis. – 2003. – Vol. 7, № 1. – P. 15–25.Hruschka, E.R. A genetic algorithm for cluster analysis / E.R. Hruschka, N.F.F. Ebecken // Intelligent data analysis. – 2003. – Vol. 7, № 1. – P. 15–25.Kuncheva, L.I. Selection of cluster prototypes from data by a genetic algorithm / L.I. Kuncheva, J.C. Bezdek // Proc. of 5th European Congress on Intelligent techniques and Soft computting. – Aachen, Germany, 1997. – P. 1683–1688.Kuncheva, L.I. Selection of cluster prototypes from data by a genetic algorithm / L.I. Kuncheva, J.C. Bezdek // Proc. of 5th European Congress on Intelligent techniques and Soft computting. – Aachen, Germany, 1997. – P. 1683–1688.Klawonn, F. Fuzzy clustering with evolutionary algorithms / F. Klawonn // Proc. of 7th IFSA World Congress. – Prague, Czech Republic, 1997. – P. 957–962.Klawonn, F. Fuzzy clustering with evolutionary algorithms / F. Klawonn // Proc. of 7th IFSA World Congress. – Prague, Czech Republic, 1997. – P. 957–962.Hall, L.O. Clustering with a genetically optimized approach / L.O. Hall, I.B. Ozyurt, J.C. Bezdek // IEEE Trans. Evol. Comput. – 1999. – Vol. 3, № 2. – P. 103–112.Hall, L.O. Clustering with a genetically optimized approach / L.O. Hall, I.B. Ozyurt, J.C. Bezdek // IEEE Trans. Evol. Comput. – 1999. – Vol. 3, № 2. – P. 103–112.Klawonn, F. Constructing a fuzzy controller from data / F. Klawonn, R. Kruse // Fuzzy Sets and Systems. – 1997. – Vol. 85, № 2. – P. 177–193.Klawonn, F. Constructing a fuzzy controller from data / F. Klawonn, R. Kruse // Fuzzy Sets and Systems. – 1997. – Vol. 85, № 2. – P. 177–193.Sugeno, M. A fuzzy-logic-based approach to qualitative modeling / M. Sugeno, T.Yasukawa // IEEE Transactions on Fuzzy Systems. – 1993. – Vol. 1, № 1. – P. 7–31.Sugeno, M. A fuzzy-logic-based approach to qualitative modeling / M. Sugeno, T.Yasukawa // IEEE Transactions on Fuzzy Systems. – 1993. – Vol. 1, № 1. – P. 7–31.
The authors declare that there are no conflicts of interest present.