Self-calibrated approach for fisher discriminant classifier estimation in linear discriminant analysis using linear programming
As far as what we have commonly consider theoretically, data sets always have enough samples and limited features to analyze. For such data, parameters can be substantially refined as the sample size increases toward infinity. However, the real-world data are more complicated and limited, especial...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/148491 |