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...
| Autori principali: | , , , |
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| Natura: | Texto completo |
| Lingua: | Inglés |
| Pubblicazione: |
Elsevier Science Bv
2015
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| Soggetti: | |
| Accesso online: | https://ri.unsam.edu.ar/handle/123456789/1009 |