22 citations · 22 across the 1 of their papers we have counts for
3 papers
stat.ME2017
Minimum Covariance Determinant and Extensions
Mia Hubert, Michiel Debruyne, Peter J. Rousseeuw
The Minimum Covariance Determinant (MCD) method is a highly robust estimator of multivariate location and scatter, for which a fast algorithm is available. Since estimating the cov…
stat.ME2017
Outlyingness: why do outliers lie out?
Michiel Debruyne, Sebastiaan Höppner, Sven Serneels +1
Outlier detection is an inevitable step to most statistical data analyses. However, the mere detection of an outlying case does not always answer all scientific questions associate…
stat.AP2010★ 22 cited
An outlier map for Support Vector Machine classification
Michiel Debruyne
Support Vector Machines are a widely used classification technique. They are computationally efficient and provide excellent predictions even for high-dimensional data. Moreover, S…