Analysis of Cone Penetration Data Using Fuzzy C-means Clustering

Fuzzy C-means 클러스터링 기법을 이용한 콘 관입 데이터의 해석

  • 우철웅 (서울대학교 농업생명과학대학) ;
  • 장병욱 (서울대학교 농업생명과학대학) ;
  • 원정윤 (서울대학교 대학원)
  • Published : 2003.05.01

Abstract

Methods of fuzzy C-means have been used to characterize geotechnical information from static cone penetration data. As contrary with traditional classification methods such as Robertson classification chart, the FCM expresses classes not conclusiveness but fuzzy. The results show that the FCM is useful to characterize ground information that can not be easily found by using normal classification chart. But optimal number of classes may not be easily defined. So, the optimal number of classes should be determined considering not only technical measures but engineering aspects.

Keywords

References

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