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...
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| Formato: | Tesis |
| Lenguaje: | English |
| Publicado: |
2010
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