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The Applied Research of Dynamic Clustering Algorithm in Identifying Vegetable Oil Species

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2 Author(s)
Cheng Xintian ; Henan Univ. of Technol., Zhengzhou, China ; Zhang Hongmei

A more practical, efficient, fast identification for food raw materials is favorable to improve the current food security situation. In order to improve this kind of condition, this paper presents a vegetable oils discrimination based on improved K-Means algorithm and according the GC of vegetable oil. And this algorithm is improved in selecting original center of clustering so that the traditional K-Means algorithm can get a global optimal solution instead of a local optimal one, and get a more stable clustering result. The experiment result shows that the algorithm gains an evident improved effect and a good performance.

Published in:

Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on  (Volume:1 )

Date of Conference:

12-14 Dec. 2009