Optimal Weighted Learning of PCA and PLS for Multicollinearity Discriminators and Imbalanced Groups in Big Data (S/O: 13224)
This study developed an algorithm for statistical classification that enable ones to classify a future data to one of predetermined groups based on the measured data which facing two major threats; (i) multicollinearity among the measured variables and (ii) imbalanced groups. The developed algorithm...
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| Main Authors: | , , , , |
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| Format: | Monograph |
| Language: | English |
| Published: |
UUM
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/31770/1/13224.pdf https://repo.uum.edu.my/id/eprint/31770/ |
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