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...
Disimpan dalam:
| Pengarang Utama: | |
|---|---|
| Format: | Thesis |
| Bahasa: | English English |
| Diterbitkan: |
2014
|
| Subjek-subjek: | |
| Capaian Atas Talian: | http://etd.uum.edu.my/4420/ http://etd.uum.edu.my/4420/1/s92365.pdf http://etd.uum.edu.my/4420/2/s92365_abstract.pdf |
| Penanda-penanda: |
Tambah Penanda
Tiada Penanda, Jadilah orang pertama menanda rekod ini!
|