A practical fuzzy ISODATA method

  • Authors:

  • Cao Xiedong;Zhao Jinzhou;Huang Guangyan

  • Affiliations:

  • Southwest Petroleum Institute, Nan Chong, Si Chuan, 637001, P.R.China;Southwest Petroleum Institute, Nan Chong, Si Chuan, 637001, P.R.China;Southwest Petroleum Institute, Nan Chong, Si Chuan, 637001, P.R.China

  • Venue:
  • Second international workshop on Intelligent systems design and application
  • Year:
  • 2002

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Abstract

This paper describes a fuzzy ISODATA clustering method adopted in the project of oil and gas exploration and exploitation information synthesis integrate intelligence application system, discusses the characteristics of fuzzy ISODATA clustering, adopts relation degree as indexes of the sample characteristics and the sample distance function, and briefly describes the characteristics selection in the classification problem of the sidewall stability.