RETRACTED: A robust kernelized intuitionistic fuzzy c-means clustering algorithm in segmentation of noisy medical images

This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the Editor-in-Chief. It has come to the attention of the Editors-in-Chief of Pattern Recognition Letters that this paper has considerable overlap with the articles listed below. The source materials are not referenced in the current work. In addition, the Pattern Recognition Letters publication cannot be termed as an extension of the articles authored or co-authored by P. Kaur. The Editors have, therefore, decided to retract the article.1.”Kernelized type-2 fuzzy c-means clustering algorithm in segmentation of noisy medical images”, Recent Advances in Intelligent Computational Systems (RAICS), 2011 IEEE (P. Kaur) (http://dx.doi.org/10.1109/RAICS.2011.6069361)2.”Robust Intuitionistic Fuzzy C-means clustering for linearly and nonlinearly separable data”, International Conference on Image Information Processing (ICIIP), 2011 (P. Kaur)(http://dx.doi.org/10.1109/ICIIP.2011.6108908)3.”A new Kernelized hybrid c-mean clustering model with optimized parameters”, Applied Soft Computing, Volume 10, Issue 2, March 2010, Pages 381-389 (Meena Tushir, Smriti Srivastava)(http://dx.doi.org/10.1016/j.asoc.2009.08.020)4.”Novel Intuitionistic fuzzy c-means clustering for linearly and Non-linearly separable data”, WSEAS Transactions on Computers, Issue 3, Vol 11, March 2012 (Prabhjot Kaur, A. K. Soni, Anjana Gosain)