%0 Journal Article 
%A Larrey Ruiz, Jorge
%A Morales Sánchez, Juan
%A Sancho Gómez, José Luis
%A Verdú Monedero, Rafael
%A García Laencina, Pedro José
%T Algoritmo KNN basado en información mutua para clasificación de patrones con valores perdidos
%D 2008
%U http://hdl.handle.net/10317/1364
%X Incomplete data is a common drawback in reallife
classification problems. Missing values in data sets may
have different origins such as death of patients, equipment
malfunctions, refusal of respondents to answer certain questions,
and so on. This work1 presents an effective and robust approach
for classification with unknown input data. In particular, an
enhanced version of the K-Nearest Neighbours algorithm using
Mutual Information is proposed. Results on two classification
datasets shows the usefullness of this approach.
%K Teoría de la Señal y las Comunicaciones
%K Algoritmo KNN
%K Imputación de datos
%K Patrón con valor perdido
%K Información Mutua (IM).
%K K-Nearest Neighbours algorithm
%K Data imputation
%K Missing value pattern
%K Mutual information
%~ GOEDOC, SUB GOETTINGEN