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title:
 
Membership-based clustering of heterogeneous fuzzy data
publication:
 
EUSFLAT
part of series:
  Advances in Intelligent Systems Research
pages:   283 - 289
DOI:
  To be assigned soon (how to use a DOI)
author(s):
 
Gernot Herbst, Arne-Jens Hempel, Rainer Fletling and Steffen F. Bocklisch
publication date:
 
July 2011
keywords:
 
Fuzzy classification, clustering, pattern recognition, engineering geodesy.
abstract:
 
This article contributes to clustering and fuzzy modelling of data such that specific characteristics of each datum can be incorporated. Particularly, each object may exhibit an individual area of influence in its feature space, for which it is representative. For such objects, a similarity measure is introduced, which is used to modify common clustering algorithms to take each object's extent into account when finding clusters. A real-world example demonstrates the practical usability of the presented methods, which deliver results in accordance to findings of experts in that field.
copyright:
 
© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
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