Integrated smoothed location model and data reduction approaches for multi variables classification
Smoothed Location Model is a classification rule that deals with mixture of continuous variables and binary variables simultaneously. This rule discriminates groups in a parametric form using conditional distribution of the continuous variables given each pattern of the binary variables. To conduct...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://etd.uum.edu.my/4420/1/s92365.pdf https://etd.uum.edu.my/4420/2/s92365_abstract.pdf https://etd.uum.edu.my/4420/ |
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