Data Reduction and Regression Using Principal Component Analysis in Qualitative Spatial Reasoning and Health Informatics
The central idea of principal component analysis (PCA) is to reduce the dimensionality of a dataset consisting of a large number of interrelated variables, while retaining as much as possible of the variation present in the dataset . In this paper, we use PCA bas...
I tiakina i:
| I whakaputaina i: | Polibits |
|---|---|
| Ngā kaituhi matua: | , |
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Instituto Politécnico Nacional
2016
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| Ngā marau: | |
| Urunga tuihono: | https://www.redalyc.org/articulo.oa?id=402646943004 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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