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07/28/2020
Visualizing classification results
Classification is a major tool of statistics and machine learning. A cla...
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05/16/2020
Transforming variables to central normality
Many real data sets contain features (variables) whose distribution is f...
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12/28/2019
Flagging and handling cellwise outliers by robust estimation of a covariance matrix
We propose a method for detecting cellwise outliers. Given a robust cova...
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10/12/2019
Real-time outlier detection for large datasets by RT-DetMCD
Modern industrial machines can generate gigabytes of data in seconds, fr...
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10/12/2018
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms
Clustering non-Euclidean data is difficult, and one of the most used alg...
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08/13/2018
Clustering genomic words in human DNA using peaks and trends of distributions
In this work we seek clusters of genomic words in human DNA by studying ...
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07/04/2018
Robust Identification of Target Genes and Outliers in Triple-negative Breast Cancer Data
Correct classification of breast cancer sub-types is of high importance ...
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06/04/2018
MacroPCA: An all-in-one PCA method allowing for missing values as well as cellwise and rowwise outliers
Multivariate data are typically represented by a rectangular matrix (tab...
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05/03/2018
A generalized spatial sign covariance matrix
The well-known spatial sign covariance matrix (SSCM) carries out a radia...
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03/13/2018
Discussion of "The power of monitoring"
This is an invited comment on the discussion paper "The power of monitor...
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12/14/2017
Fast robust correlation for high dimensional data
The product moment covariance is a cornerstone of multivariate data anal...
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08/28/2017
Robust Monitoring of Time Series with Application to Fraud Detection
Time series often contain outliers and level shifts or structural change...
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07/31/2017