Normalization and outlier removal in class center-based firefly algorithm for missing value imputation
Abstract A missing value is one of the factors that often cause incomplete data in almost all studies, even those that are well-designed and controlled. It can also decrease a study’s statistical power or result in inaccurate estimations and conclusions. Hence, data normalization and missing value h...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-10-01
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Series: | Journal of Big Data |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40537-021-00518-7 |