Self-Organizing Maps for Imputation of Missing Data in Incomplete Data Matrices
The problem of incomplete data matrices is repeatedly found in large databases; posing a significant obstacle for an effective treatment of data. This paper examines a self-organizing-map (SOM) based method of data imputation under the concept of distance object per one weight; to predict physicoche...
| Auteurs principaux: | Folguera, Laura, Zupan, Jure, Cicerone, Daniel, Magallanes, Jorge |
|---|---|
| Format: | Texto completo |
| Langue: | Inglés |
| Publié: |
Elsevier Science Bv
2015
|
| Sujets: | |
| Accès en ligne: | https://ri.unsam.edu.ar/handle/123456789/1009 |
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