On Looking at Large Correlation Matrices
大型相关矩阵的图形考察
Two graphical techniques, familiar in other contexts, are applied to a correlation matrix. The method of half-normal plotting is used to determine which coefficients are numerically too large to have come from zero population values. A visual clustering method is used to select clusters of variables which have high positive correlations with each other.