Data Clustering system on categorical data using modified K-modes clustering algorithms
This study focused on implementing a system which clusters categorical data with or without missing values using two modified K-modes algorithms namely, the available case analysis and the adaptive imputation. Files with .txt extensions are the only ones accepted the system. The file or data set mus...
| Autor principal: | |
|---|---|
| Formato: | Tesis |
| Lenguaje: | English |
| Publicado: |
2009
|
| Materias: |