Imputation of missing data: Recursive 1D discrete KNN algorithm
imputeMatrixNaNKnn takes a matrix as an input and fills the NaN values with the closest available.
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This is a simple utility for imputation of missing data in a given matrix. Assuming that missing data is represented by NaN values. It uses a simple
linear search with recursion to find the k-nearest neighbour.
Cite As
Mehmet Suzen (2026). Imputation of missing data: Recursive 1D discrete KNN algorithm (https://www.mathworks.com/matlabcentral/fileexchange/39025-imputation-of-missing-data-recursive-1d-discrete-knn-algorithm), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (2.8 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
