dc.contributor
Universitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.contributor
Universitat Politècnica de Catalunya. SOCO - Soft Computing
dc.contributor.author
Vellido Alcacena, Alfredo
dc.contributor.author
Halka, Christiana
dc.contributor.author
Nebot Castells, M. Àngela
dc.identifier
Vellido, 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
978-3-319-16482-3
dc.identifier
https://hdl.handle.net/2117/82923
dc.identifier
10.1007/978-3-319-16483-0_52
dc.description.abstract
After 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.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (author's final draft)
dc.format
application/pdf
dc.relation
http://link.springer.com/chapter/10.1007/978-3-319-16483-0_52
dc.subject
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject
Protein research
dc.subject
Fuzzy clustering
dc.subject
Clustering stability analysis
dc.subject
Cramér’s V index
dc.subject
G Protein-Coupled Receptors
dc.subject
Proteïnes -- Investigació
dc.title
A weighted Cramér’s V Index for the assessment of stability in the fuzzy clustering of class C G protein-coupled receptors
dc.type
Conference report
