Iterative Fuzzy C Means, Fuzzy Silhouette, and Imputation for Missing Values in a Dataset
A missing value is an error that always happened, and it is unavoidable. This error should be handled correctly before data is processed into the processing model. This paper proposes a method of imputation by employing iterative Fuzzy C Means (FCM), centroid values and, fuzzy silhouette to handle m...
| Main Authors: | Mausor, F.H., Jaafar, J., Taib, S.M., Razali, R. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29131 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125305962&doi=10.1109%2fICOCO53166.2021.9673541&partnerID=40&md5=84bd38086f154b2dbc30c8932c25a78c http://eprints.utp.edu.my/29131/ |
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