Show simple item record

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.accessioned2016-02-15T12:10:23Z
dc.date.available2016-12-31T01:30:28Z
dc.date.issued2015
dc.identifier.citationVellido, A., Halka, C., Nebot, M. A weighted Cramér’s V Index for the assessment of stability in the fuzzy clustering of class C G protein-coupled receptors. A: International Work-Conference on Bioinformatics and Biomedical Engineering. "Bioinformatics and Biomedical Engineering: Third International Conference, IWBBIO 2015, Granada, Spain, April 15-17, 2015: proceedings, part I (LNCS; 9043)". Granada: Springer, 2015, p. 536-547.
dc.identifier.isbn978-3-319-16482-3
dc.identifier.urihttp://hdl.handle.net/2117/82923
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 Cramér’s V Index for the assessment of stability in the fuzzy clustering of class C G protein-coupled receptors
dc.typeConference report
dc.subject.lemacProteïnes -- Investigació
dc.contributor.groupUniversitat Politècnica de Catalunya. SOCO - Soft Computing
dc.identifier.doi10.1007/978-3-319-16483-0_52
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007/978-3-319-16483-0_52
dc.rights.accessOpen Access
local.identifier.drac17499133
dc.description.versionPostprint (author's final draft)
local.citation.authorVellido, A.; Halka, C.; Nebot, M.
local.citation.contributorInternational Work-Conference on Bioinformatics and Biomedical Engineering
local.citation.pubplaceGranada
local.citation.publicationNameBioinformatics and Biomedical Engineering: Third International Conference, IWBBIO 2015, Granada, Spain, April 15-17, 2015: proceedings, part I (LNCS; 9043)
local.citation.startingPage536
local.citation.endingPage547


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder