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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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書目詳細資料
主要作者:	Hashibah, Hamid
格式:	Thesis
語言:	English English
出版:	2014
主題:	QA71-90 Instruments and machines
在線閱讀:	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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