Binary variable extraction using nonlinear principal component analysis in classical location model

Binary variable extraction using nonlinear principal component analysis in classical location model

Location model is a predictive classification model that determines the groups of objects which contain mixed categorical and continuous variables. The simplest location model is known as classical location model, which can be constructed easily using maximum likelihood estimation. This model perfor...

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書目詳細資料
主要作者:	Long, Mei Mei
格式:	Thesis
語言:	eng eng
出版:	2016
主題:	QA273-280 Probabilities Mathematical statistics QA299.6-433 Analysis
在線閱讀:	https://etd.uum.edu.my/6007/1/s817093_01.pdf https://etd.uum.edu.my/6007/2/s817093_02.pdf
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