A Generalization of Gustafson-Kessel Algorithm Using a New Constraint Parameter
Artificial Intelligence
2015-02-17 v1
Abstract
In this paper one presents a new fuzzy clustering algorithm based on a dissimilarity function determined by three parameters. This algorithm can be considered a generalization of the Gustafson-Kessel algorithm for fuzzy clustering.
Keywords
Cite
@article{arxiv.1502.04495,
title = {A Generalization of Gustafson-Kessel Algorithm Using a New Constraint Parameter},
author = {Vasile Patrascu},
journal= {arXiv preprint arXiv:1502.04495},
year = {2015}
}
Comments
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, pp. 1250-1255, Barcelona, Spain, September 7-9, 2005