Rough-Set-Theory-Based Classification with Optimized k-Means Discretization
The discretization of continuous attributes in a dataset is an essential step before the Rough-Set-Theory (RST)-based classification process is applied. There are many methods for discretization, but not many of them have linked the RST instruments from the beginning of the discretization process. T...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/282035/1/Dwiputranto%20et%20al%20-%202022%20-%20Rough-Set.pdf |