K -MLIO: Enabling K -Means for Large Data-Sets and Memory Constrained Embedded Systems - Université de Bretagne Occidentale Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

K -MLIO: Enabling K -Means for Large Data-Sets and Memory Constrained Embedded Systems

Stéphane Rubini
Jalil Boukhobza
Fichier non déposé

Dates et versions

hal-02482026 , version 1 (17-02-2020)

Identifiants

Citer

Camelia Slimani, Stéphane Rubini, Jalil Boukhobza. K -MLIO: Enabling K -Means for Large Data-Sets and Memory Constrained Embedded Systems. 2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), Oct 2019, Rennes, France. pp.262-268, ⟨10.1109/MASCOTS.2019.00037⟩. ⟨hal-02482026⟩
38 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More