Unbiased Feature selection in Random Forests using Consensus Feature Clustering

Nafise Fateri Gouard; Ndèye Niang; Mory Ouattara

Conference Papers Year : 2021

Unbiased Feature selection in Random Forests using Consensus Feature Clustering

(1) , (1) , (2)

1
2

Nafise Fateri Gouard

Function : Author
PersonId : 1124941

CEDRIC. Méthodes statistiques de data-mining et apprentissage

Ndèye Niang

Function : Author
PersonId : 182344
IdHAL : ndeye-niang
ORCID : 0000-0002-6109-9935
IdRef : 179489879

CEDRIC. Méthodes statistiques de data-mining et apprentissage

CV

Mory Ouattara

Function : Author
PersonId : 1120023
IdHAL : mory-ouattara
ORCID : 0000-0003-0889-2966

Université Nangui Abrogoua

Domains

Statistics [stat]

Ndeye Niang : Connect in order to contact the contributor

https://cnam.hal.science/hal-03541420

Submitted on : Monday, January 24, 2022-3:56:17 PM

Last modification on : Friday, July 19, 2024-11:38:05 AM

Dates and versions

hal-03541420 , version 1 (24-01-2022)

Identifiers

HAL Id : hal-03541420 , version 1

Cite

Nafise Fateri Gouard, Ndèye Niang, Mory Ouattara. Unbiased Feature selection in Random Forests using Consensus Feature Clustering. Data Science, Statistics & Visualisation(DSSV) and European Conference on Data Analysis (ECDA), Jul 2021, Rotterdam, Netherlands. ⟨hal-03541420⟩

Unbiased Feature selection in Random Forests using Consensus Feature Clustering

Domains

Dates and versions

Identifiers

Cite

Export

Collections

Share