WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/13398,
	  title     = {Optimizing of Fuzzy C-Means Clustering Algorithm Using GA},
	  author    = {Mohanad Alata and  Mohammad Molhim and  Abdullah Ramini},
	  country	= {},
	  institution	= {},
	  abstract     = {Fuzzy C-means Clustering algorithm (FCM) is a
method that is frequently used in pattern recognition. It has the
advantage of giving good modeling results in many cases, although,
it is not capable of specifying the number of clusters by itself. In
FCM algorithm most researchers fix weighting exponent (m) to a
conventional value of 2 which might not be the appropriate for all
applications. Consequently, the main objective of this paper is to use
the subtractive clustering algorithm to provide the optimal number of
clusters needed by FCM algorithm by optimizing the parameters of
the subtractive clustering algorithm by an iterative search approach
and then to find an optimal weighting exponent (m) for the FCM
algorithm. In order to get an optimal number of clusters, the iterative
search approach is used to find the optimal single-output Sugenotype
Fuzzy Inference System (FIS) model by optimizing the
parameters of the subtractive clustering algorithm that give minimum
least square error between the actual data and the Sugeno fuzzy
model. Once the number of clusters is optimized, then two
approaches are proposed to optimize the weighting exponent (m) in
the FCM algorithm, namely, the iterative search approach and the
genetic algorithms. The above mentioned approach is tested on the
generated data from the original function and optimal fuzzy models
are obtained with minimum error between the real data and the
obtained fuzzy models.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {3},
	  year      = {2008},
	  pages     = {670 - 675},
	  ee        = {https://publications.waset.org/pdf/13398},
	  url   	= {https://publications.waset.org/vol/15},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 15, 2008},
	}