104 citations · 115 across the 4 of their papers we have counts for
4 papers
K-bMOM: a robust Lloyd-type clustering algorithm based on bootstrap Median-of-Means
Camille Brunet-Saumard, Edouard Genetay, Adrien Saumard
We propose a new clustering algorithm that is robust to the presence of outliers in the dataset. We perform Lloyd-type iterations with robust estimates of the centroids. More preci…
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…
Discriminative variable selection for clustering with the sparse Fisher-EM algorithm
Charles Bouveyron, Camille Brunet
The interest in variable selection for clustering has increased recently due to the growing need in clustering high-dimensional data. Variable selection allows in particular to eas…
Simultaneous model-based clustering and visualization in the Fisher discriminative subspace
Charles Bouveyron, Camille Brunet
Clustering in high-dimensional spaces is nowadays a recurrent problem in many scientific domains but remains a difficult task from both the clustering accuracy and the result under…