ROBUST DETECTION OF MULTIPLE OUTLIERS IN A MULTIVARIATE DATA SET
ABSTRACT Many methods have been developed for detecting multiple outliers in a single multivariate sample, but very few for the case where there may be groups in the data set. We propose a method of simultaneously determining groups (as in cluster analysis) and detecting outliers, which are points that are distant from every group. Our method is an adaptation of the BACON algorithm proposed by Billor, Hadi and Velleman for ...
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