Modifying Mountain Clustering Algorithm and Using It to Enhance the Performance of Fuzzy C-Means Algorithm
published by Aِl-Baath University
in 2017
in
and research's language is
العربية
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Abstract in English
In this paper, we introduce a modification to fuzzy mountain
data clustering algorithm. We were able to make this algorithm
working automatically, through finding a way to divide the
space, to determine the values of the input parameters, and
the stop condition automatically, instead of getting them by the
user.
References used
YANG. M, AND WU. K, 2005- A Modified Mountain Clustering Algorithm, Published online:24 June 2005, London, p 125–138
CHIU. S, 1994- Fuzzy Model Identification Based on Cluster Estimate, journal of Intelligent and Fuzzy System, California, vol. 2, p 267-278
BERNETI. S, 2011- Design of Fuzzy Subtractive Clustering Model using Particle Swarm Optimization for the Permeability Prediction of the Reservoir, Islamic Azad University, Sari, Iran, Volume 29– No.11, September