… of the correlation coefficients for HFSs. In addition, we will apply these derived correlation
coefficient formulas to do clustering analysis for hesitant fuzzy information. Clustering refers to …

… clustering coefficients tailored to correlation matrices. The key idea is to use three-way partial
correlation … We used the three-way partial correlation coefficient controlling for a single ROI …

… This study proposes the best clustering method(s) for different distance measures under
two … , seven cluster analysis methods are compared by the cophenetic correlation coefficient …

… correlation coefficient in the cluster analysis. Finally, they are compared with the previous
correlation coefficients … of the existing correlation coefficients of PFSs are analyzed using the …

… If the assumption is true, then the residuals would effectively be white noise and they should
not be correlated, having correlation coefficients of zero, and clustering analysis performed …

… correlation coefficient instead of the Euclidean distance is used for clustering analysis.
The … In this study, we combine the correlation coefficient with clustering analysis for feature …

… correlation coefficients between elements and ash as well among the elements themselves,
cluster and factor analysis… we demonstrate that statistical analysis of subsets with different …

… formula to clustering analysis. Ye [43] improved to compute correlation coefficients of single-…
sets based on existing correlation coefficient and clustering analysis methods not being …

… the proposed correlation coefficients in pattern recognition and clustering analysis. Numerical
… better understanding of the applicability and efficiency of proposed correlation coefficients. …

… correlation coefficient is one of the most important tools in data analysis, we propose two new
correlation coefficient … which, a new probabilistic hesitant fuzzy clustering algorithm is also …