Integrated smoothed location model and data reduction approaches for multi variables classification

• 第一著者: Hashibah, Hamid
• フォーマット: 学位論文
• 言語: English; English
• 出版事項: 2014
• 主題: QA71-90 Instruments and machines
• オンライン･アクセス: 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/

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...