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dc.contributor.authorVellido Alcacena, Alfredo
dc.contributor.authorHalka, Christiana
dc.contributor.authorNebot Castells, M. Àngela
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-10-20T06:48:30Z
dc.date.available2016-12-31T01:30:33Z
dc.date.issued2015
dc.identifier.citationVellido, A., Halka, C., Nebot, M. A weighted Cramer's V index for the assessment of stability in the fuzzy clustering of class C G protein-coupled receptors. A: "Bioinformatics and Biomedical Engineering: Third International Conference, IWBBIO 2015: Granada, Spain, April 15-17, 2015: proceedings, part I". Berlín: Springer, 2015, p. 536-547.
dc.identifier.isbn978-3-319-16482-3
dc.identifier.urihttp://hdl.handle.net/2117/90901
dc.description.abstractAfter decades of intensive use, K-Means is still a common choice for crisp data clustering in real-world applications, particularly in biomedicine and bioinformatics. It is well-known that different initializations of the algorithm can lead to different solutions, precluding replicability. It has also been reported that even solutions with very similar errors may widely differ. A criterion for the choice of clustering solutions according to a combination of error and stability measures has recently been suggested. It is based on the use of Cramér’s V index, calculated from contingency tables, which is valid only for crisp clustering. Here, this criterion is extended to fuzzy and probabilistic clustering by first defining weighted contingency tables and a corresponding weighted Cramér’s V index. The proposed method is illustrated using Fuzzy C-Means in a proteomics problem.
dc.format.extent12 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject.lcshProtein research
dc.subject.otherFuzzy clustering
dc.subject.otherK-Means
dc.subject.otherClustering stability analysis
dc.subject.otherCramér’s V index
dc.subject.otherG Protein-Coupled Receptors
dc.titleA weighted Cramer's V index for the assessment of stability in the fuzzy clustering of class C G protein-coupled receptors
dc.typePart of book or chapter of book
dc.subject.lemacProteïnes -- Investigació
dc.contributor.groupUniversitat Politècnica de Catalunya. SOCO - Soft Computing
dc.identifier.doi10.1007/978-3-319-16483-0
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.springer.com/gp/book/9783319164823
dc.rights.accessOpen Access
drac.iddocument18851026
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorVellido, A., Halka, C., Nebot, M.
upcommons.citation.pubplaceBerlín
upcommons.citation.publishedtrue
upcommons.citation.publicationNameBioinformatics and Biomedical Engineering: Third International Conference, IWBBIO 2015: Granada, Spain, April 15-17, 2015: proceedings, part I
upcommons.citation.startingPage536
upcommons.citation.endingPage547


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