17 citations · 34 across the 9 of their papers we have counts for
4 papers · 1 filter
The algorithm of noisy k-means
Camille Brunet, Sébastien Loustau
In this note, we introduce a new algorithm to deal with finite dimensional clustering with errors in variables. The design of this algorithm is based on recent theoretical advances…
Noisy classification with boundary assumptions
Sébastien Loustau, Clément Marteau
We address the problem of classification when data are collected from two samples with measurement errors. This problem turns to be an inverse problem and requires a specific treat…
Adaptive Noisy Clustering
Michael Chichignoud, Sébastien Loustau
The problem of adaptive noisy clustering is investigated. Given a set of noisy observations , , the goal is to design clusters associated with the law of $X…
Anisotropic oracle inequalities in noisy quantization
Sébastien Loustau
The effect of errors in variables in quantization is investigated. We prove general exact and non-exact oracle inequalities with fast rates for an empirical minimization based on a…