17 citations · 34 across the 9 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2016★ 5 cited
A Quasi-Bayesian Perspective to Online Clustering
Le Li, Benjamin Guedj, Sébastien Loustau
When faced with high frequency streams of data, clustering raises theoretical and algorithmic pitfalls. We introduce a new and adaptive online clustering algorithm relying on a qua…
stat.ML2013★ 3 cited
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…