Paper Title

A Survey on Fuzzy C-means Clustering Techniques

Authors

  • Sandhya Prabhakar H
  • Prof Sandeep Kumar

Keywords

Segmentation, Clustering, Fuzzy C means (FCM), Fruit fly Optimization, Multiple Kernel, Weighted Image Patch

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).

Article Type

Published

How To Cite

Sandhya Prabhakar H, Prof Sandeep Kumar. "A Survey on Fuzzy C-means Clustering Techniques".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.5, Issue 4, pp.1151-1155, URL :https://rjwave.org/ijedr/papers/IJEDR1704186.pdf

Issue

Volume 5 Issue 4 

Pages. 1151-1155

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