On PRIFCM algorithm for data clustering, image segmentation and comparative analysis
作者： B.K. Tripathy , Anurag Tripathy , K. Govindarajulu
DOI: 10.1109/IADCC.2015.7154725
关键词:
摘要: Data clustering has been playing important roles in many areas like pattern recognition, image segmentation, social networks and database anonymisation. Since most of the data available real life situation are imprecise by nature, imprecision based algorithms found literature using individual models as well their hybrids. It was observed Krishnapuram Keller that possibilistic approach to basic is more efficient drawbacks removed. This used develop versions fuzzy, rough fuzzy C-Means corresponding versions. In this paper, we extend these further proposing a intuitionistic algorithm (PRIFCM) compare its efficiency with other RIFCM. Experimental analysis carried out taking both numeric data. Also, DB D indices for comparison which establishes superiority PRIFCM.
sci-hub.se 参考文章(8)
B. K. Tripathy, Anurag Tripathy, K. Govindarajulu, Rohan Bhargav, On Kernel Based Rough Intuitionistic Fuzzy C-means Algorithm and a Comparative Analysis Springer, Cham. pp. 349- 359 ,(2014) , 10.1007/978-3-319-07353-8_41
Pradipta Maji, Sankar K. Pal, RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets Fundamenta Informaticae. ,vol. 80, pp. 475- 496 ,(2007) , 10.5555/2367421.2367428
Swarnalatha Purushotham, Balakrishna Tripathy, A comparative study of RIFCM with other related algorithms from their suitability in analysis of satellite images using other supporting techniques Kybernetes. ,vol. 43, pp. 53- 81 ,(2014) , 10.1108/K-12-2012-0126
B. K. Tripathy, Anurag Tripathy, Kosireddy Govinda Rajulu, Possibilistic rough fuzzy C-means algorithm in data clustering and image segmentation international conference on computational intelligence and computing research. pp. 1- 6 ,(2014) , 10.1109/ICCIC.2014.7238506
B. K. Tripathy, Avik Basu, Sahil Govel, Image segmentation using spatial intuitionistic fuzzy C means clustering 2014 IEEE International Conference on Computational Intelligence and Computing Research. pp. 1- 5 ,(2014) , 10.1109/ICCIC.2014.7238446
R. Krishnapuram, J.M. Keller, A possibilistic approach to clustering IEEE Transactions on Fuzzy Systems. ,vol. 1, pp. 98- 110 ,(1993) , 10.1109/91.227387
Rohan Bhargava, B. K. Tripathy, Anurag Tripathy, Rajkamal Dhull, Ekta Verma, P. Swarnalatha, Rough intuitionistic fuzzy C-means algorithm and a comparative analysis Proceedings of the 6th ACM India Computing Convention on - Compute '13. pp. 23- ,(2013) , 10.1145/2522548.2523140
Debasish Ghosh, Nithin Prakash Ladda, B. K. Tripathy, P Swarnalatha, Cluster Analysis using Hybrid Soft Computing Techniques ,(2014)