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Title:
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A weighted Cramer's V index for the assessment of stability in the fuzzy clustering of class C G protein-coupled receptors
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Author:
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Vellido Alcacena, Alfredo; Halka, Christiana; Nebot Castells, M. Àngela
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. SOCO - Soft Computing |
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Abstract:
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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. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
-Protein research
-Fuzzy clustering
-K-Means
-Clustering stability analysis
-Cramér’s V index
-G Protein-Coupled Receptors
-Proteïnes -- Investigació |
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Rights:
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Document type:
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Article - Submitted version
Book Part |
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Published by:
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Springer
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