Abstract
An additive spectral method for fuzzy clustering is presented. The method operates on a clustering model which is an extension of the spectral decomposition of a square matrix. The computation proceeds by extracting clusters one by one, which allows us to draw several stopping rules to the procedure. We experimentally test the performance of our method and show its competitiveness. © 2011 Springer-Verlag.
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CITATION STYLE
Mirkin, B. G., & Nascimento, S. (2011). Developing additive spectral approach to fuzzy clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6743 LNAI, pp. 273–277). https://doi.org/10.1007/978-3-642-21881-1_43
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