TY  - GEN 
AU  - Seoane Santos, Miriam
AU  - Henriques Abreu, Pedro
AU  - Fernández Hilario, Alberto Luis
AU  - Luengo Martín, Julián
PY  - 2022
UR  - https://hdl.handle.net/10481/100996
AB  - This work performs an in-depth study of the impact of distance functions on K-Nearest Neighbours imputation of heterogeneous datasets. Missing data is generated at several percentages, on a large benchmark of 150 datasets (50 continuous, 50...
LA  - eng
PB  - Elsevier
TI  - The impact of heterogeneous distance functions on missing data imputation and classification performance
DO  - 10.1016/j.engappai.2022.104791
ER  -