Imputation of missing data: Recursive 1D discrete KNN algorithm
버전 1.0.0.0 (2.8 KB) 작성자:
Mehmet Suzen
imputeMatrixNaNKnn takes a matrix as an input and fills the NaN values with the closest available.
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.
인용 양식
Mehmet Suzen (2024). 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. 검색됨 .
MATLAB 릴리스 호환 정보
개발 환경:
R2012a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux카테고리
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Cluster Analysis and Anomaly Detection > Nearest Neighbors >
Help Center 및 MATLAB Answers에서 Nearest Neighbors에 대해 자세히 알아보기
태그
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!imputeMatrixNaNKnn/
버전 | 게시됨 | 릴리스 정보 | |
---|---|---|---|
1.0.0.0 |