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.
|Title of host publication||Lecture Notes in Computer Science (LNCS)|
|Publication status||Published - 1 Jan 2011|
|Event||International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2011) - |
Duration: 1 Jan 2011 → …
|Conference||International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2011)|
|Period||1/01/11 → …|