A comparison of some methods for clustering of variables of mixed types

N'Dèye Niang (1) , Mory Ouattara (1, 2) , Gilbert Saporta (1)

1 CEDRIC - MSDMA - CEDRIC. Méthodes statistiques de data-mining et apprentissage
2 USP - Université de San-Pédro

We compare several old and recent methods for clustering a set of qualitative and quantitative variables.

Mots clés: clustering of variables; mixed data; PCA; RV coefficient

Domaines: Applications [stat.AP]

N'Dèye Niang, Mory Ouattara, Gilbert Saporta. A comparison of some methods for clustering of variables of mixed types. XXX Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2023), CLAD, Apr 2023, Viana Do Castelo, Portugal. pp.85-86. ⟨hal-04080343⟩