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• W2238786087 abstract "This paper deals with a genetic-based interval type 2 fuzzy c-means clustering (GIT2FCM), which automatically find the optimal number of clusters. A heuristic method based on a genetic algorithm (GA) is adopted to automatically determine the number of cluster based on the validity index. The proposed algorithm contains two main steps: initialize randomly the population of the GA and use the GA to adjust the cluster centroids based on the validity index which is computed by interval type 2 fuzzy c-means clustering (IT2FCM). The experiments are done based on datasets with the statistics show that the algorithm generates good quality of clusters.Keywordsfuzzy clusteringinterval type-2 fuzzy c-meansgenetic algorithm" @default.
• W2238786087 created "2016-06-24" @default.
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• W2238786087 date "2013-01-01" @default.
• W2238786087 modified "2023-09-27" @default.
• W2238786087 title "Genetic Based Interval Type-2 Fuzzy C-Means Clustering" @default.
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• W2238786087 doi "https://doi.org/10.1007/978-3-642-36642-0_24" @default.
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