As Mahalanobis Distance measures the distance of each observation to the distribution of surrounding data points in higher dimensional space, observations with large distances are possible candidates to be flagged as outliers
As Mahalanobis Distance measures the distance of each observation to the distribution of surrounding data points in higher dimensional space, observations with large distances are possible candidates to be flagged as outliers
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