Research Article
Kernel Neighborhood Rough Sets Model and Its Application
Algorithm 1
Feature selection based on a kernel neighborhood rough set (FSKNRS).
Input: decision system and stopping threshold | Output: selected features | 1. | 2. while | 3. for each | 4. compute | 5. compute | 6. end for | 7. find the maximal significance and the corresponding attribute | 8. if | 9. | 10. else | 11. exit while | 12. end if | 13. end while | 14. return |
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