Analysis of drilling conditions by a catalog mining method based on Fuzzy c-means algorithm

Author:

JANOT Claire-Amelie1,HIGUCHI Hirokazu1,YAMADA Kotaro1,ASAKURA Akihito1,HIROGAKI Toshiki1,AOYAMA Eiichi1

Affiliation:

1. Department of Mechanical Engineering, Doshisha University

Publisher

Japan Society of Mechanical Engineers

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference14 articles.

1. Aggarwal, C.C., Data mining: the textbook (2015), Cham, Switzerland: Springer.

2. Almeida, R.J., & Sousa, J.M.C., Comparison of fuzzy clustering algorithms for classification, Conference Proceedings of the 2006 International Symposium on Evolving Fuzzy Systems, (2006), pp.112-117.

3. Bezdek, J.C., Pattern recognition with fuzzy objective function algorithms (1981), New York: Plenum Press.

4. Bezdek, J.C., Ehrlich, R., & Full, W., FCM: the Fuzzy c-Means clustering algorithm, Computers & Geosciences, Vol.10, No.2-3 (1984), pp.191-203.

5. Choudhary, A.K., Harding, J.A., & Tiwari, M.K., Data mining in manufacturing: a review based on the kind of knowledge, Journal of Intelligent Manufacturing, Vol.20 (2009), pp.501-521.

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