Linear approximation for multivariate ...

Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Title :
Linear approximation for multivariate categorical functional data analysis
Author(s) :
Preda, Cristian [Auteur] refId
MOdel for Data Analysis and Learning [MODAL]
Grimonprez, Quentin [Auteur]
DiaGrams Technologies [Lille]
Conference title :
THE 24th CONFERENCE of the ROMANIAN SOCIETY of PROBABILITY and STATISTICS
City :
Bucharest
Country :
Roumanie
Start date of the conference :
2023-04-21
HAL domain(s) :
Physique [physics]/Physique [physics]/Analyse de données, Statistiques et Probabilités [physics.data-an]
English abstract : [en]
Multivariate categorical data is considered for unsupervised learning. Linear approximation is proposed for principal components and optimal encoding functional. Simulation examples are presented through the cfda R package.
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
Harvested from HAL
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