A weighted Cramér’s V Index for the assessment of stability in the fuzzy clustering of class C G protein-coupled receptors

摘要: After decades of intensive use, K-Means is still a common choice for crisp data clustering in real-world applications, particularly biomedicine and bioinformatics. It well-known that different initializations the algorithm can lead to solutions, precluding replicability. has also been reported even solutions with very similar errors may widely differ. A criterion according combination error stability measures recently suggested. based on use Cramer’s V index, calculated from contingency tables, which valid only clustering. Here, this extended fuzzy probabilistic by first defining weighted tables corresponding index. The proposed method illustrated using Fuzzy C-Means proteomics problem.