TITLE

Proposed a new Fuzzy C-Means Algorithm based on Electrical Rules

AUTHOR(S)
Golabzaei, Amir; Yaghoubizadeh, Mohsen; Mirkhanzadeh, Behruz
PUB. DATE
October 2012
SOURCE
International Proceedings of Computer Science & Information Tech;2012, Vol. 49, p32
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Every day, people deal with different types of data and different types of measurements and observations. Data describe the characteristics of data and summarize the result of experiment. Clustering or classification of data is an important activity to partitioning the data point in to similarity classes. One of the problems with Fuzzy C-Means (FCM) is that this algorithm cannot produce a good partitioning where the objective function is minimizing.The proposed fuzzy clustering algorithm uses electrical rules in FCM to obtain a low degree of variation and a large separation distance between clusters with respect to minimizing the objective function of FCM algorithm. Our algorithm optimized the validity indexes of Bezdek when the number of clusters is in the best state. Experiment results show the effectiveness of our proposed clustering model.
ACCESSION #
87756372

 

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