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Cluster Analysis for Orientation Data Using DifFUZZY Method

  • J. Wu
  • Z. X. ZhangEmail author
Conference paper
Part of the Springer Geology book series (SPRINGERGEOL)

Abstract

Fuzzy clustering techniques are often used in the study of high-dimensional data sets, such as orientation data. Several methods are used in finding groups within directional data, but traditional methods usually meet difficulties when dealing with some data sets. In this paper, a new DifFUZZY clustering method, which was proposed by Ornella Cominetti and Anastasios Matzavinos for the complex data sets, is firstly applied to cluster the orientation data. The results are compared with the FCM method and the real-life data.

Keywords

Cluster Analysis Statistics DifFUZZY Orientation data 

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Geotechnical Engineering, School of Civil EngineeringTongji UniversityShanghaiChina
  2. 2.Shanghai Urban Construction (Group) CorporationShanghaiChina

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