42 citations · 51 across the 7 of their papers we have counts for
7 papers
A Note on the Folding Test of Unimodality: limitation and improved alternative
Colombe Becquart, Aurore Archimbaud, Anne M. Ruiz +1
This note addresses a key limitation of the Folding Test of Unimodality (FTU). In specific univariate mixture settings, the folding-based criterion can systematically fail, misclas…
Towards Reliable Recommender Systems for Rating Data
Aurore Archimbaud, Andreas Alfons, Ines Wilms
Recommender systems are widely used in the digital landscape to match users with content fitting their preferences. However, growing concerns about fake accounts, strategic manipul…
Invariant Coordinate Selection and Fisher discriminant subspace beyond the case of two groups
Colombe Becquart, Aurore Archimbaud, Anne Ruiz-Gazen +2
Invariant Coordinate Selection (ICS) is a multivariate technique that relies on the simultaneous diagonalization of two scatter matrices. It serves various purposes, including its…
Generalized implementation of invariant coordinate selection with positive semi-definite scatter matrices
Aurore Archimbaud
Invariant coordinate selection is an unsupervised multivariate data transformation useful in many contexts such as outlier detection or clustering. It is based on the simultaneous…
Tandem clustering with invariant coordinate selection
Andreas Alfons, Aurore Archimbaud, Klaus Nordhausen +1
For multivariate data, tandem clustering is a well-known technique aiming to improve cluster identification through initial dimension reduction. Nevertheless, the usual approach us…
Numerical considerations and a new implementation for ICS
Aurore Archimbaud, Zlatko Drmač, Klaus Nordhausen +2
Invariant Coordinate Selection (ICS) is a multivariate data transformation and a dimension reduction method that can be useful in many different contexts. It can be used for outlie…
ICS for Multivariate Outlier Detection with Application to Quality Control
Aurore Archimbaud, Klaus Nordhausen, Anne Ruiz-Gazen
In high reliability standards fields such as automotive, avionics or aerospace, the detection of anomalies is crucial. An efficient methodology for automatically detecting multivar…