References
- 1. Mac Queen, J. Some Methods for Classification and Analysis of Multivariate Observations. - In: Proc. of the 5th Berkeley Symposium on Mathematical Statistics and Probability, Vol. 1, 1967, pp. 281-297.
- 2. Hartigan, J. A., M. A. Wong. Algorithm AS 136: Ak-Means Clustering Algorithm. - Journal of the Royal Statistical Society, Series C (Applied Statistics), Vol. 28, 1979, No 1, pp. 100-108.
- 3. Huang, Z. Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values. - Data Mining and Knowledge Discovery, Vol. 2, 1998, No 3, pp. 283-304.
- 4. Huang, Z., M. K. Ng. A Fuzzy k-Modes Algorithm for Clustering Categorical Data. - IEEE Transactions on Fuzzy Systems, Vol. 7, 1999, No 4, pp. 446-452.10.1109/91.784206
- 5. Ruspini, E. H. A New Approach to Clustering. - Information and Control, Vol. 15, 1969, No 1, pp. 22-32.10.1016/S0019-9958(69)90591-9
- 6. Ruspini, E. H. Numerical Methods for Fuzzy Clustering. - Information Sciences, Vol. 2, 1970, No 3, pp. 319-350.10.1016/S0020-0255(70)80056-1
- 7. Yang, M.-S. A Survey of Fuzzy Clustering. - Mathematical and Computer Modelling, Vol. 18, 1993, No 11, pp. 1-16.
- 8. Pelekis, N., D. K. Iakovidis, E. E. Kotsifakos, I. Kopanaki s. Fuzzy Clustering of Intuitionistic Fuzzy Data. - International Journal of Business Intelligence and Data Mining, Vol. 3, 2008, No 1, pp. 45-65
- 9. Atanassov, K. T. More on Intuitionistic Fuzzy Sets. - Fuzzy Sets and Systems, Vol. 33, 1989, No 1, pp. 37-45.
- 10. Atanassov, K. T. Intuitionistic Fuzzy Sets. - Fuzzy Sets and Systems, Vol. 20, 1986, No 1, pp. 87-96.
- 11. Zhang, H., Z. Xu, Q. Chen. On Clustering Approach to Intuitionistic Fuzzy Sets. - Control and Decision, Vol. 22, 2007, No 8, p. 882.
- 12. Xu, Z., J. Chen, J. Wu. Clustering Algorithm for Intuitionistic Fuzzy Sets. - Information Sciences, Vol. 178, 2008, No 19, pp. 3775-3790.
- 13. Chaira, T. A Novel Intuitionistic Fuzzy C Means Clustering Algorithm and Its Application to Medical Images. - Applied Soft Computing, Vol. 11, 2011, No 2, pp. 1711-1717.10.1016/j.asoc.2010.05.005
- 14. Chaira, T., A. Panwar. An Atanassov’s Intuitionistic Fuzzy Kernel Clustering for Medical Image Segmentation. - International Journal of Computational Intelligence Systems, Vol. 7, 2014, No 2, pp. 360-370.10.1080/18756891.2013.865830
- 15. Dubois, D. J. Fuzzy Sets and Systems: Theory and Applications. - Academic Press, Vol. 144, 1980.
- 16. Klir, G., B. Yuan. Fuzzy Sets and Fuzzy Logic. Vol. 4. New Jersey, Prentice Hall, 1995.
- 17. Zadeh, L. A. Fuzzy Sets. - Information and Control, Vol. 8, 1965, No 3, pp. 338-353.
- 18. Klir, G. J., T. A. Folger. Fuzzy Sets, Uncertainty, and Information. 1988.
- 19. Deschrijver, G., E. E. Kerre. On the Relationship between Some Extensions of Fuzzy Set Theory. - Fuzzy Sets and Systems, Vol. 133, 2003, No 2, pp. 227-235.
- 20. Bezdek, J. C. Pattern Recognition with Fuzzy Objective Function Algorithms. - Springer Science & Business Media, 2013.
- 21. Tripathy, B. K., A. Goyal, A. S. Patra. Clustering Categorical Data Using Intuitionistic Fuzzy k-Mode. - International Journal of Pharmacy and Technology, Vol. 8, 2016, No 3, pp. 16688-16701.
- 22. Tripathy, B. K., A. Goyal, A. S. Patra. A Comparative Analysis of Rough Intuitionistic Fuzzy k-Mode for Clustering Categorical Data. - Research Journal of Pharmaceutical, Biological and Chemical Sciences, Vol. 7, 2016, No 5, pp. 2787-2802.
- 23. Xie, N., Z. Li, G. Zhang. An Intuitionistic Fuzzy Soft Set Method for Stochastic Decision- Making Applying Prospect Theory and Grey Relational Analysis. - Journal of Intelligent & Fuzzy Systems, Vol. 33, 2017, No 1, pp. 15-25.
- 24. Das, S., D. Guha. Similarity Measure of Intuitionistic Fuzzy Numbers and Its Application to Clustering. - International Journal of Mathematics in Operational Research, Vol. 10, 2017, No 4, pp. 399-430.
- 25. Goldberg, D. E. Genetic Algorithms in Search, Optimization, and Machine Learning. Addion Wesley, 1989, p. 102.
- 26. Saha, I., A. Mukhopadhyay. Genetic Algorithm and Simulated Annealing Based Approaches to Categorical Data Clustering. - In: Proc. of IEEE Region 10 and the 3rd International Conference on Industrial and Information Systems, 2008, pp. 1-6.
- 27. Cheng, C. H., W. K. Lee, K. F. Wong. A Genetic Algorithm-Based Clustering Approach for Database Partitioning. - IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), Vol. 32, 2008, No 3, pp. 215-230.
- 28. Cowgill, M. C., R. J. Harvey, L. T. Watson. A Genetic Algorithm Approach to Cluster Analysis. - Computers & Mathematics with Applications, Vol. 37, 1999, No 7, pp. 99-108.
- 29. Sheikh, R. H., M. M. Raghuwanshi, A. N. Jaiswa l. Genetic Algorithm Based Clustering: A Survey. - In: Proc. of First International Conference on Emerging Trends in Engineering and Technology, 2008, pp. 314-319.
- 30. Deb, K., S. Agrawal, A. Pratap, T. Meyariva n. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. - In: Proc. of International Conference on Parallel Problem Solving from Nature, 2000, pp. 849-858.
- 31. Deb, K., A. Pratap, S. Agarwal, T. Meyariva n. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. - IEEE Transactions on Evolutionary Computation, Vol. 6, 2002, No 2, pp. 182-197.
- 32. Maulik, U., S. Bandyopadhya y. Performance Evaluation of Some Clustering Algorithms and Validity Indices. - IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, 2002, No 12, pp. 1650-1654.10.1109/TPAMI.2002.1114856
- 33. Xie, X. L., G. Beni. A Validity Measure for Fuzzy Clustering. - IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 13, 1991, No 8, pp. 841-847.
- 34. Davies, D. L., D. W. Bouldi n. A Cluster Separation Measure. - IEEE Transactions on Pattern Analysis and Machine Intelligence, 1979, No 2, pp. 224-227.10.1109/TPAMI.1979.4766909
- 35. Bezdek, J. C., N. R. Pal. Cluster Validation with Generalized Dunn’s Indices. - In: Proc. of Artificial Neural Networks and Expert Systems, 2nd New Zealand International Two-Stream Conference, 1995, pp. 190-193.