Minimum covariance determinant and extensions von Hubert, Mia, Debruyne, Michiel, Rousseeuw, Peter J.

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Robust statistics for outlier detection von Rousseeuw, Peter J., Hubert, Mia

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Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms von Schubert, Erich, Rousseeuw, Peter J.

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ROBPCA: A New Approach to Robust Principal Component Analysis von Hubert, Mia, Rousseeuw, Peter J, Vanden Branden, Karlien

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Computing LTS Regression for Large Data Sets von ROUSSEEUW, PETER J., VAN DRIESSEN, KATRIEN

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A Deterministic Algorithm for Robust Location and Scatter von Hubert, Mia, Rousseeuw, Peter J., Verdonck, Tim

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Robust identification of target genes and outliers in triple-negative breast cancer data von Segaert, Pieter, Lopes, Marta B, Casimiro, Sandra, Vinga, Susana, Rousseeuw, Peter J

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Anomaly detection by robust statistics von Rousseeuw, Peter J., Hubert, Mia

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The Cellwise Minimum Covariance Determinant Estimator von Raymaekers, Jakob, Rousseeuw, Peter J.

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A Fast Algorithm for the Minimum Covariance Determinant Estimator von Rousseeuw, Peter J., Driessen, Katrien Van

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Detecting Deviating Data Cells von Rousseeuw, Peter J., Bossche, Wannes Van Den

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Multivariate functional outlier detection von Hubert, Mia, Rousseeuw, Peter J., Segaert, Pieter

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A Measure of Directional Outlyingness With Applications to Image Data and Video von Rousseeuw, Peter J., Raymaekers, Jakob, Hubert, Mia

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Fast linear model trees by PILOT von Raymaekers, Jakob, Rousseeuw, Peter J., Verdonck, Tim, Yao, Ruicong

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The minimum regularized covariance determinant estimator von Boudt, Kris, Rousseeuw, Peter J., Vanduffel, Steven, Verdonck, Tim

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Robust discriminant analysis von Hubert, Mia, Raymaekers, Jakob, Rousseeuw, Peter J.

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High-Breakdown Robust Multivariate Methods von Hubert, Mia, Rousseeuw, Peter J., Van Aelst, Stefan

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Outlier detection in non-elliptical data by kernel MRCD von Schreurs, Joachim, Vranckx, Iwein, Hubert, Mia, Suykens, Johan A. K., Rousseeuw, Peter J.

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Transforming variables to central normality von Raymaekers, Jakob, Rousseeuw, Peter J.

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Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” von Raymaekers, Jakob, Rousseeuw, Peter J., Vranckx, Iwein

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