7 citations · 7 across the 1 of their papers we have counts for
3 papers
Co-clustering through Optimal Transport
Charlotte Laclau, Ievgen Redko, Basarab Matei +2
In this paper, we present a novel method for co-clustering, an unsupervised learning approach that aims at discovering homogeneous groups of data instances and features by grouping…
Nonparametric homogeneity tests and multiple change-point estimation for analyzing large Hi-C data matrices
Vincent Brault, Sarah Ouadah, Laure Sansonnet +1
We propose a novel nonparametric approach for estimating the location of block boundaries (change-points) of non-overlapping blocks in a random symmetric matrix which consists of r…
Fast Detection of Block Boundaries in Block Wise Constant Matrices: An Application to HiC data
Vincent Brault, Julien Chiquet, Céline Lévy-Leduc
We propose a novel approach for estimating the location of block boundaries (change-points) in a random matrix consisting of a block wise constant matrix observed in white noise. O…