Some algebraic properties of the cophenetic correlation coefficient (CPCC) are derived. Conditions under which the CPCC is maximized for a phenogram are calculated, and a strategy for finding a phenogram with largest CPCC is described. The desirability of the CPCC as an optimality criterion for classifications is discussed. Since its introduction by Sokal and Rohlf (1962), the cophenetic correlation coeffi-cient (CPCC) has been widely used in numerical phenetic studies, both as a mea-sure of degree of fit of a classification to a set of data and as a criterion for evaluating the efficiency of various clustering tech-niques. Paradoxically, little effort has been devoted to analysis of the properties of the CPCC. The present paper attempts pa...
Pearson’s correlation coefficients of three algorithms on CCHF data set for three prediction scenari...
Canonical correlation (CC) analysis is discussed with a view toward providing an intuitive understan...
A stepwise procedure, correlation pursuit (COP), is developed for variable selection under the suffi...
(A) The cophenetic correlation coefficient (CCC) is calculated for 100 runs with k = 2,..,6. The CCC...
Canonical correlation analysis is an extremely useful technique, especially in biomedical investigat...
The objective of this work was to propose a way of using the Tocher's method of clustering to obtain...
(A) from Chaussabel and Baldwin and (B) BTM. The following three linkage hierarchical methods are pr...
A simplified mathematical and computational treatment of the canonical correlational analysis of two...
Summary: PCCA (phylogenetic canonical correlation analysis) is a new program for canonical correlati...
Canonical correlation analysis (CCA) is a natural generalization of PCA when the data contain two se...
A multivariate technique named Canonical Concordance Correlation Analysis (CCCA) is introduced. In c...
<p>A. Distribution of Spearman Rank Correlation Coefficients. Distribution of correlation coefficien...
The purpose of this note is to supplement some recent articles which discuss correlations between tw...
Canonical Correlation Analysis (CCA) is a multivariate technique that takes two datasets and forms t...
Canonical correlation analysis (CCA) is a useful tool for investigating the relationships between tw...
Pearson’s correlation coefficients of three algorithms on CCHF data set for three prediction scenari...
Canonical correlation (CC) analysis is discussed with a view toward providing an intuitive understan...
A stepwise procedure, correlation pursuit (COP), is developed for variable selection under the suffi...
(A) The cophenetic correlation coefficient (CCC) is calculated for 100 runs with k = 2,..,6. The CCC...
Canonical correlation analysis is an extremely useful technique, especially in biomedical investigat...
The objective of this work was to propose a way of using the Tocher's method of clustering to obtain...
(A) from Chaussabel and Baldwin and (B) BTM. The following three linkage hierarchical methods are pr...
A simplified mathematical and computational treatment of the canonical correlational analysis of two...
Summary: PCCA (phylogenetic canonical correlation analysis) is a new program for canonical correlati...
Canonical correlation analysis (CCA) is a natural generalization of PCA when the data contain two se...
A multivariate technique named Canonical Concordance Correlation Analysis (CCCA) is introduced. In c...
<p>A. Distribution of Spearman Rank Correlation Coefficients. Distribution of correlation coefficien...
The purpose of this note is to supplement some recent articles which discuss correlations between tw...
Canonical Correlation Analysis (CCA) is a multivariate technique that takes two datasets and forms t...
Canonical correlation analysis (CCA) is a useful tool for investigating the relationships between tw...
Pearson’s correlation coefficients of three algorithms on CCHF data set for three prediction scenari...
Canonical correlation (CC) analysis is discussed with a view toward providing an intuitive understan...
A stepwise procedure, correlation pursuit (COP), is developed for variable selection under the suffi...