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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Main Author: | Hashibah, Hamid |
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Format: | Thesis |
Language: | eng eng |
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 |
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