Co-clustering: A versatile way to perform clustering in high dimension

Christine Keribin (1, 2) , Christophe Biernacki (3)

1 LM-Orsay - Laboratoire de Mathématiques d'Orsay
2 SELECT - Model selection in statistical learning
3 MODAL - MOdel for Data Analysis and Learning

Domaines: Méthodologie [stat.ME]

Christine Keribin, Christophe Biernacki. Co-clustering: A versatile way to perform clustering in high dimension. The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Dec 2018, Pise, Italy. ⟨hal-01949116⟩