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Publication Date
Mon Aug 26 2019
Journal Name
Iraqi Journal Of Science
Volume
60
Issue Number
8
DOI
10.24996/ijs.2019.60.8.21
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Scopus (2)
Crossref (1)
Articles
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ijs-1024
Finding Best Clustering For Big Networks with Minimum Objective Function by Using Probabilistic Tabu Search
Fuzzy
C-Means
Tabu
Clustering
Network
Facebook
Ali Falah
Basad
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     Fuzzy C-means (FCM) is a clustering method used for collecting similar data elements within the group according to specific measurements. Tabu is a heuristic algorithm. In this paper, Probabilistic Tabu Search for FCM implemented to find a global clustering based on the minimum value of the Fuzzy objective function. The experiments designed for different networks, and cluster’s number the results show the best performance based on the comparison that is done between the values of the objective function in the case of using standard FCM and Tabu-FCM, for the average of ten runs.

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