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ORCIDPeter J. Rousseeuw
Person information
- affiliation: University of Leuven, Belgium
- affiliation: University of Antwerp, Belgium
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2020 – today
- 2024
[j34]Jakob Raymaekers
, Peter J. Rousseeuw:
Transforming variables to central normality. Mach. Learn. 113(8): 4953-4975 (2024)- [j33]Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao:
Fast linear model trees by PILOT. Mach. Learn. 113(9): 6561-6610 (2024) - 2023
- [i7]Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao:
Fast Linear Model Trees by PILOT. CoRR abs/2302.03931 (2023) - 2022
- [j32]Jakob Raymaekers, Peter J. Rousseeuw:
Silhouettes and Quasi Residual Plots for Neural Nets and Tree-based Classifiers. J. Comput. Graph. Stat. 31(4): 1332-1343 (2022) - [j31]Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert:
Class Maps for Visualizing Classification Results. Technometrics 64(2): 151-165 (2022) - 2021
- [j30]Erich Schubert, Peter J. Rousseeuw:
Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms. Inf. Syst. 101: 101804 (2021) - [j29]Jakob Raymaekers, Peter J. Rousseeuw:
Handling Cellwise Outliers by Sparse Regression and Robust Covariance. J. Data Sci. Stat. Vis. 1(3) (2021) - [j28]Joachim Schreurs, Iwein Vranckx, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw:
Outlier detection in non-elliptical data by kernel MRCD. Stat. Comput. 31(5): 66 (2021) - [j27]Jakob Raymaekers, Peter J. Rousseeuw:
Fast Robust Correlation for High-Dimensional Data. Technometrics 63(2): 184-198 (2021) - [i6]Jakob Raymaekers, Peter J. Rousseeuw:
Silhouettes and quasi residual plots for neural nets and tree-based classifiers. CoRR abs/2106.08814 (2021) - 2020
- [j26]Ana Helena Tavares, Jakob Raymaekers, Peter J. Rousseeuw, Paula Brito, Vera Afreixo:
Clustering genomic words in human DNA using peaks and trends of distributions. Adv. Data Anal. Classif. 14(1): 57-76 (2020) - [j25]Kris Boudt, Peter J. Rousseeuw, Steven Vanduffel, Tim Verdonck:
The minimum regularized covariance determinant estimator. Stat. Comput. 30(1): 113-128 (2020) - [i5]Jakob Raymaekers, Peter J. Rousseeuw:
Transforming variables to central normality. CoRR abs/2005.07946 (2020) - [i4]Jakob Raymaekers, Peter J. Rousseeuw, Mia Hubert:
Visualizing classification results. CoRR abs/2007.14495 (2020) - [i3]Joachim Schreurs, Iwein Vranckx, Bart De Ketelaere, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw:
Outlier detection in non-elliptical data by kernel MRCD. CoRR abs/2008.02046 (2020) - [i2]Erich Schubert, Peter J. Rousseeuw:
Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms. CoRR abs/2008.05171 (2020)
2010 – 2019
- 2019
- [j24]Jakob Raymaekers, Peter J. Rousseeuw:
A generalized spatial sign covariance matrix. J. Multivar. Anal. 171: 94-111 (2019) - [j23]Mia Hubert, Peter J. Rousseeuw, Wannes Van Den Bossche:
MacroPCA: An All-in-One PCA Method Allowing for Missing Values as Well as Cellwise and Rowwise Outliers. Technometrics 61(4): 459-473 (2019) - [c7]Erich Schubert, Peter J. Rousseeuw:
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. SISAP 2019: 171-187 - 2018
- [j22]Jakob Raymaekers, Peter J. Rousseeuw, Iwein Vranckx:
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". Stat. Methods Appl. 27(4): 589-594 (2018) - [j21]Peter J. Rousseeuw, Wannes Van Den Bossche:
Detecting Deviating Data Cells. Technometrics 60(2): 135-145 (2018) - [j20]Peter J. Rousseeuw, Mia Hubert:
Anomaly detection by robust statistics. WIREs Data Mining Knowl. Discov. 8(2) (2018) - [i1]Erich Schubert, Peter J. Rousseeuw:
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. CoRR abs/1810.05691 (2018) - 2017
- [j19]Mia Hubert, Peter J. Rousseeuw, Pieter Segaert:
Multivariate and functional classification using depth and distance. Adv. Data Anal. Classif. 11(3): 445-466 (2017) - [c6]Ana Helena Tavares, Jakob Raymaekers, Peter J. Rousseeuw, Raquel M. Silva, Carlos A. C. Bastos, Armando J. Pinho, Paula Brito, Vera Afreixo:
Dissimilar Symmetric Word Pairs in the Human Genome. PACBB 2017: 248-256 - 2015
- [j18]Mia Hubert, Peter J. Rousseeuw, Dina Vanpaemel, Tim Verdonck:
The DetS and DetMM estimators for multivariate location and scatter. Comput. Stat. Data Anal. 81: 64-75 (2015) - [j17]Mia Hubert, Peter J. Rousseeuw, Pieter Segaert:
Multivariate functional outlier detection. Stat. Methods Appl. 24(2): 177-202 (2015) - [j16]Mia Hubert, Peter J. Rousseeuw, Pieter Segaert:
Rejoinder to 'multivariate functional outlier detection'. Stat. Methods Appl. 24(2): 269-277 (2015) - 2011
- [j15]Peter J. Rousseeuw, Mia Hubert:
Robust statistics for outlier detection. WIREs Data Mining Knowl. Discov. 1(1): 73-79 (2011) - [r2]Mia Hubert, Peter J. Rousseeuw:
Multivariate Techniques: Robustness. International Encyclopedia of Statistical Science 2011: 932-935 - 2010
- [j14]Marco Riani, Andrea Cerioli, Peter J. Rousseeuw:
Special Issue on Robust Methods for Classification and Data Analysis - Preface by the Guest Editors. Adv. Data Anal. Classif. 4(2-3): 85-87 (2010) - [c5]Tim Verdonck, Mia Hubert, Peter J. Rousseeuw:
DetMCD in a Calibration Framework. COMPSTAT 2010: 589-596
2000 – 2009
- 2009
- [j13]Mia Hubert, Peter J. Rousseeuw, Tim Verdonck:
Robust PCA for skewed data and its outlier map. Comput. Stat. Data Anal. 53(6): 2264-2274 (2009) - 2008
- [j12]Marc J. van Kreveld, Joseph S. B. Mitchell, Peter J. Rousseeuw, Micha Sharir, Jack Snoeyink, Bettina Speckmann:
Efficient Algorithms for Maximum Regression Depth. Discret. Comput. Geom. 39(4): 656-677 (2008) - 2006
- [j11]Peter J. Rousseeuw, Katrien van Driessen:
Computing LTS Regression for Large Data Sets. Data Min. Knowl. Discov. 12(1): 29-45 (2006) - 2005
- [j10]Mia Hubert, Peter J. Rousseeuw, Karlien Vanden Branden:
ROBPCA: A New Approach to Robust Principal Component Analysis. Technometrics 47(1): 64-79 (2005) - 2004
- [j9]Peter J. Rousseeuw, Stefan Van Aelst, Katrien van Driessen, Jose A. Gulló:
Robust Multivariate Regression. Technometrics 46(3): 293-305 (2004) - [r1]Peter J. Rousseeuw, Anja Struyf:
Computation of robust statistics. Handbook of Discrete and Computational Geometry, 2nd Ed. 2004: 1279-1292 - 2003
- [j8]Peter J. Rousseeuw, Andreas Christmann:
Robustness against separation and outliers in logistic regression. Comput. Stat. Data Anal. 43(3): 315-332 (2003) - [j7]Christophe Croux, Peter Filzmoser, G. Pison, Peter J. Rousseeuw:
Fitting multiplicative models by robust alternating regressions. Stat. Comput. 13(1): 23-36 (2003) - [j6]Kim Miller, Suneeta Ramaswami, Peter J. Rousseeuw, Joan Antoni Sellarès, Diane L. Souvaine, Ileana Streinu, Anja Struyf:
Efficient computation of location depth contours by methods of computational geometry. Stat. Comput. 13(2): 153-162 (2003) - [j5]Annie A. M. Cuyt, R. B. Lenin, Gert Willems, Chris Blondia, Peter J. Rousseeuw:
Computing Packet Loss Probabilities in Multiplexer Models Using Rational Approximation. IEEE Trans. Computers 52(5): 633-644 (2003) - 2002
- [j4]Christophe Croux, Gentiane Haesbroeck, Peter J. Rousseeuw:
Location adjustment for the minimum volume ellipsoid estimator. Stat. Comput. 12(3): 191-200 (2002) - [c4]Gert Willems, G. Pison, Peter J. Rousseeuw, Stefan Van Aelst:
A Hotelling Test Based on MCD. COMPSTAT 2002: 117-122 - 2001
- [c3]Kim Miller, Suneeta Ramaswami, Peter J. Rousseeuw, Joan Antoni Sellarès, Diane L. Souvaine, Ileana Streinu, Anja Struyf:
Fast implementation of depth contours using topological sweep. SODA 2001: 690-699
1990 – 1999
- 1999
- [j3]Peter J. Rousseeuw, Mia Hubert:
Depth in an Arrangement of Hyperplanes. Discret. Comput. Geom. 22(2): 167-176 (1999) - [j2]Peter J. Rousseeuw, Katrien van Driessen:
A Fast Algorithm for the Minimum Covariance Determinant Estimator. Technometrics 41(3): 212-223 (1999) - [c2]Marc J. van Kreveld, Joseph S. B. Mitchell, Peter J. Rousseeuw, Micha Sharir, Jack Snoeyink, Bettina Speckmann:
Efficient Algorithms for Maximum Regression Depth. SCG 1999: 31-40 - 1998
- [j1]Peter J. Rousseeuw, Anja Struyf:
Computing location depth and regression depth in higher dimensions. Stat. Comput. 8(3): 193-203 (1998) - [c1]Peter J. Rousseeuw, Stefan Van Aelst:
The Deepest Fit. COMPSTAT 1998: 437-442 - 1990
- [b2]Leonard Kaufman, Peter J. Rousseeuw:
Finding Groups in Data: An Introduction to Cluster Analysis. John Wiley 1990, ISBN 978-0-47187876-6
1980 – 1989
- 1987
- [b1]Peter J. Rousseeuw, Annick Leroy:
Robust Regression and Outlier Detection. Wiley Series in Probability and Statistics, Wiley 1987, ISBN 978-0-47185233-9, pp. 1-335
Coauthor Index
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