Using eigenvalues of distance matrices for outlier detection

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Why is it important?

Distance or dissimilarity matrices are widely used in applications. We study the relationships between the eigenvalues of the distance matrices and outliers and show that outliers affect the pairwise distances and inflate the eigenvalues. We use this fact to propose a method for the detection of outliers.