Mahalanobis distance based on minimum regularized covariance determinant estimators for high dimensional data
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DOI: 10.1080/03610926.2020.1719420
Abstract: Abstract Outlier detection is an extensively studied issue in robust literature. The most popular and traditional approach using to detect outliers is to calculate the Mahalanobis distance. However, conventional Mahalanobis distances may fail to detect… read more here.
Keywords: dimensional data; mahalanobis distance; high dimensional; covariance determinant ... See more keywords