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...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 語言: | eng eng |
| 出版: |
2014
|
| 主題: | |
| 在線閱讀: | https://etd.uum.edu.my/4420/1/s92365.pdf https://etd.uum.edu.my/4420/2/s92365_abstract.pdf |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|