MATEC Web Conf.
Volume 139, 20172017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017)
|Number of page(s)||5|
|Published online||05 December 2017|
A Knowledge Context Fuzzy Clustering Method Based on Genetic Algorithm
1 School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China
2 No.208 Research Institute of China Ordnance Industries, Beijing, China
* Corresponding author: firstname.lastname@example.org
A fuzzy clustering method based on genetic algorithm is proposed aiming at the problem of automatic clustering of knowledge context. Firstly, the knowledge context model is constructed to determine the similarity measure of knowledge context. Then the initial clustering centers are obtained based on the density peak method. Then the fuzzy C mean clustering result is solved by genetic algorithm, and the clustering of knowledge context is realized. Finally, the knowledge context clustering of an aircraft part design process is taken as an example to illustrate the effectiveness of the algorithm.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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