Using divisor , the covariance matrix isFor example, the first variance is , and the first-second covariance is . If “sample covariance matrix” means the unbiased convention, use divisor instead: . This multiplies every eigenvalue by and leaves all principal component loadings and explained-variance fractions unchanged.
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