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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主要作者: Hashibah, Hamid
格式: Thesis
语言:English
English
出版: 2014
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在线阅读: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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