<p>Eigenvalues and eigenvectors corresponding to the principal components.</p>

These values provide further insight into the structural patterns revealed by PCA, enhancing the understanding of the clustering results and their potential physical or clinical significance.

这些数值可进一步阐明主成分分析（PCA）所揭示的结构模式，深化对聚类结果及其潜在物理或临床意义的理解。