FCM : Fuzzy C-Means Clustering - A View in Different Aspects
Keywords:
Clustering, Data Mining, FCM, C-means, K-Means, FuzzyAbstract
Data Mining is the process of obtaining or exploring data from the large amount of raw data. It produces the meaningful information. To obtain the information data mining has multiple techniques such as classification, regression, prediction, clustering, and summarization. There are multiple tasks in data mining to obtain the information such as cleaning, integrating, selection, transformation, pattern evaluation. One of the challenging techniques in the data mining is clustering. Clustering is the process of grouping the data under some condition. The main aim of the paper is to describe about the Fuzzy C-Means Clustering (FCM) and compared with K-Means clustering. The pitfalls overcome by the FCM are also measured theoretically.
References
- Jiawei Han, Micheline Kamber and Jian Pei, ”Data Mining Concepts and Techniques”, 3rd ed. Elsevier
- Bo Gao and Jun Wang,” Multi-Objective Fuzzy Clustering for Synthetic Aperture Radar Imagery”, IEEE TRANS. ON GEOSCIENCE AND REMOTE SENSING LETTERS .,VOL 12., ISSUE 11.,2015
- B.G.Lee., J.H.Park., W.Y.Chung ,” Smartwatch-based Driver Vigilance Indicator with Kernal-Fuzzy-C-Means-Wavelet Method” IEEE TRANSACTION ON SENSORS JOURNAL, VOL 16., ISSUE 1., 2015
- Guoying Liu, Yun Zhang, and Aimin Wang,” Incorporating Adaptive Local Information IntoFuzzy Clustering for Image Segmentation “ IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 24, NO. 11, NOVEMBER 2015
- Li Liu, Aolei Yang ,Wenju Zhou, Xiaofeng Zhang, Minrui Fei, and Xiaowei Tu,” Robust Dataset Classification Approach Based onNeighbor Searching and Kernel Fuzzy C-Means” IEEE/CAA JOURNAL OF AUTOMATICA SINICA, VOL. 2, NO. 3, JULY 2015
- Jonathon K. Parker and Lawrence O. Hall.,” Accelerating Fuzzy-C Means Using an EstimatedSubsample Size”,IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 22, NO. 5, OCTOBER 2014
- Pradipta Maji and Sushmita Paul,” Rough-Fuzzy Clustering for GroupingFunctionally Similar Genes fromMicroarray Data”,IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, VOL. 10, NO. 2, MARCH/APRIL 2013
- Nikhil R. Pal, Kuhu Pal, James M. Keller, and James C. Bezdek.” A Possibilistic Fuzzy c-Means Clustering Algorithm”,IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 13, NO. 4, AUGUST 2005
- Pradipta Maji and Sankar K. Pal,” Rough Set Based Generalized Fuzzy C-MeansAlgorithm and Quantitative Indices”, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 37, NO. 6, DECEMBER 2007
- http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1 .300.7332&rep=rep1&type=pdf
- http://infoman.teikav.edu.gr/~stkrini/pdfFiles/journals/2010 _TIP.pdf
- http://www.indjst.org/index.php/indjst/article/viewFile/ 47757/41449
- www.ise.bgu.ac.il/faculty/liorr/hbchap15.pdf
- Junjie Wu , ” Advances in k-means Clustering A Data Mining Thinking”, Springer Theses Recognizing Outstanding Ph.D. Research.
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