Nearest neighbor selection for iteratively kNN imputation

By Shichao Zhang. Journal of Systems and Software, 2012

333 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f24b31fc442d19c16259f2b91da445fa0186357e

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Ming Zong
2. Shichao Zhang
3. Xiaofeng Zhu
4. Xuelong Li
5. Ruili Wang
6. Dacheng Tao
7. Ling Shao
8. Debo Cheng

In Statistics and Probability

1. Ming Zong
2. Xiaofeng Zhu
3. Shichao Zhang
4. Ruili Wang
5. Xuelong Li

Citations in the corpus

• Efficient kNN Classification With Different Numbers of Nearest Neighbors (2018, methodology): “Because of its simple implementation and significant classification performance, kNN method is a very popular method in data mining and statistics and thus was voted as one of top ten data mining algorithms [7]–[13].”
• Missing value imputation: a review and analysis of the literature (2006–2017) (2019, neutral): “(2013) and Pati and Das (2017) Weighted KNN: Luengo et al.”