Principal Component Analysis

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PCA finds orthogonal directions of maximum variance in the data. The first principal component v_{1} is the eigenvector of the sample covariance matrix Σ corresponding to the largest eigenvalue λ_{1} . What does λ_{1} / \sum_{i} λ_{i} represent?