Missing Value Imputation for PM10 Concentration in Sabah using Nearest Neighbour Method (NNM) and Expectation-Maximization (EM) Algorithm
Missing data in large data analysis has affected further analysis conducted on dataset. To fill in missing data, Nearest Neighbour Method (NNM) and Expectation Maximization (EM) algorithm are the two most widely used methods. Thus, this research aims to compare both methods by imputing missing data...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2020-03-01
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| Series: | Asian Journal of Atmospheric Environment |
| Subjects: | |
| Online Access: | http://www.asianjae.org/_common/do.php?a=full&b=11&bidx=1922&aidx=23538 |