Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1996.07b
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- Pages.1042-1044
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- 1996
Classification of Volatile Chemicals using Fuzzy Clustering Algorithm
퍼지 Clustering 알고리즘을 이용한 휘발성 화학물질의 분류
- Byun, Hyung-Gi (School of Electrical and Electronics Eng. Myong-Ji University) ;
- Kim, Kab-Il (School of Electrical and Electronics Eng. Myong-Ji University)
- Published : 1996.07.22
Abstract
The use of fuzzy theory in task of pattern recognition may be applicable gases and odours classification and recognition. This paper reports results obtained from fuzzy c-means algorithms to patterns generated by odour sensing system using an array of conducting polymer sensors, for volatile chemicals. For the volatile chemicals clustering problem, the three unsupervise fuzzy c-means algorithms were applied. From among the pattern clustering methods, the FCMAW algorithm, which updated the cluster centres more frequently, consistently outperformed. It has been confirmed as an outstanding clustering algorithm throughout experimental trials.
Keywords