Modified principal feature analysis (MPFA) as a feature selection algorithm for clustering large data sets within missing values.
Clustering is a technique of positioning objects into groups that objects within the same group exhibit a high degree of similarity, while objects from different groups manifest a high degree of disparity. Unfortunately, high-dimensional datasets often contain unimportant features that can adversely...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2010
|
| Subjects: |