A Method for Estimating the Least Number of Objects in Fuzzy Clusters

Authors

  • Dmitri A. Viattchenin United Institute of Informatics Problems of the National Academy of Sciences of Belarus
  • Aliaksandr Yaroma Belarusian State University of Informatics and Radio-Electronics

Abstract

The theoretical note deals with the problem of estimation of the value of the least number of objects in fuzzy clusters for following detection of the optimal number of objects in fuzzy clusters through heuristic possibilistic clustering. A technique for detecting the optimal maximal number of elements in the a priori unknown number of fuzzy clusters of the sought clustering structure is reminded and a procedure for finding the initial minimal value of the number of objects in fuzzy clusters is proposed. Numerical examples are considered and conclusions are formulated.

Author Biographies

Dmitri A. Viattchenin, United Institute of Informatics Problems of the National Academy of Sciences of Belarus

Leading Researcher of the Laboratory of System Identification

Aliaksandr Yaroma, Belarusian State University of Informatics and Radio-Electronics

Department of Software Information Technology, post-graduate student

References

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Published

2017-10-31

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Section

Applied Informatics