Missing data imputation with fuzzy feature selection for diabetes dataset
Missing data in datasets remain as a difficulty in terms of data analysis in various research fields, especially in the medical field, as it affects the treatment and diagnosis that the patient should receive. In this research, Fuzzy c-means (FCM) are used to impute the missing data. However, like i...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Springer Nature Switzerland AG
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/89605/ http://dx.doi.org/10.1007/s42452-019-0383-x |
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| Institution: | Universiti Teknologi Malaysia |