Developing Additive Spectral Approach to Fuzzy Clustering

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageUnknown
Title of host publicationLecture Notes in Computer Science (LNCS)
Pages273-277
DOIs
Publication statusPublished - 1 Jan 2011
EventInternational Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2011) -
Duration: 1 Jan 2011 → …

Conference

ConferenceInternational Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2011)
Period1/01/11 → …

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