Nguyen, D.D. and Ngo, L.T. and Pham, L.T. (2013) Genetic based interval type-2 fuzzy C-means clustering. In: 1st International Conference on Context-Aware Systems and Applications, ICCASA 2012, 26 November 2012 through 27 November 2012, Ho Chi Minh City.
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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. © 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Information Technology |
| Identification Number: | 10.1007/978-3-642-36642-0_24 |
| Uncontrolled Keywords: | Cluster centroids; Interval type-2 fuzzy; Number of clusters; Optimal number; Validity index; Fuzzy clustering; Fuzzy systems; Heuristic methods; Genetic algorithms |
| Additional Information: | Conference code: 95969. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/10065 |
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