A Study of K-Nearest Neighbour as an Imputation Method

By Gustavo E. A. P. A. Batista, Maria Carolina Monard. International Conference on Health Information Science, 2002

480 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6db308779954a4006d87ce68148ff2aaa176dfb2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Aníbal R. Figueiras-Vidal
2. José-Luis Sancho-Gómez
3. Ms. R. Malarvizhi
4. Ali H. Sayed
5. Jinsung Yoon
6. Anil S. Jadhav
7. S. van Buuren

Citations in the corpus

• Pattern classification with missing data: a review (2010, background): “A wellknown and accurate distance function is the heterogeneous euclidean overlap metric (HEOM) [26] [27].”
• K-NN Classifier Performs Better Than K-Means Clustering in Missing Value Imputation (2012, background): “One instance with missing data (for example, a person that cannot be contacted) is replaced by another non sampled instance; www.iosrjournals.org 13 | Page”