Context Sensitive Fuzzy Clustering

نویسندگان

  • Annette Keller
  • Frank Klawonn
چکیده

We introduce an objective function-based fuzzy clustering technique that incorporates linear combinations of attributes in the distance function. The main application eld of our method is image processing where a comparison pixel by pixel is usually not adequate, but the environmnet of a pixel or groups of pixels characterize important properties of an image or parts of it. In addition, our approach can be seen as generalization of other fuzzy clustering techniques like the axes-parellel version of the Gustafson-Kessel algorithm.

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تاریخ انتشار 2007