This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
A Survey on Fuzzy C-means Clustering Techniques
Authors
  Sandhya Prabhakar H,  Prof Sandeep Kumar
Abstract
This paper reviews different Fuzzy C-means clustering techniques. We mainly discuss few Fuzzy C-means clustering techniques like Conventional Fuzzy C-means (FCM), Fast Fuzzy C Means (FFCM) , Feature weighted FCM (FWFCM) , Weighted image patch-based FCM (WIPFCM) , Kernel Based fuzzy C-means (KFCM) , Multiple Kernel Fuzzy C-means (MKFCM) and Kernel-based Fuzzy C-means Clustering based on Fruit Fly Optimization Algorithm (FOAKFCM).
Keywords- Segmentation, Clustering, Fuzzy C means (FCM), Fruit fly Optimization, Multiple Kernel, Weighted Image Patch
Publication Details
Unique Identification Number - IJEDR1704186Page Number(s) - 1151-1155Pubished in - Volume 5 | Issue 4 | December 2017DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Sandhya Prabhakar H,  Prof Sandeep Kumar,   "A Survey on Fuzzy C-means Clustering Techniques", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.1151-1155, December 2017, Available at :http://www.ijedr.org/papers/IJEDR1704186.pdf
Article Preview
|
|
||||||
|