A robust distance-based approach for detecting multidimensional outliers
Chacko V M2024-12-23T08:37:42+05:30https://www.tandfonline.com/doi/full/10.1080/02664763.2024.2422403 ABSTRACT Identifying outliers in data analysis is a critical task, as outliers can significantly influence the results and conclusions drawn from a dataset. This study explores the use of the Mahalanobis distance metric for detecting outliers in multivariate data, focusing on a novel approach inspired by the work of M. Falk, [On mad and [...]