An Approach for Solving Missing Values in Data Set Using Clustering-Curve Fitting Technique
Missing values in data sets represent one of the greatest challenge in analyzing data to extract knowledge from the data set. The work in this paper presents a new approach for solving the missing values problems by using and merging two different techniques; clustering (K-means and Expectation Maxi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Computer Science and Mathematics, University of Kufa
2014-12-01
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| Series: | Journal of Kufa for Mathematics and Computer |
| Subjects: | |
| Online Access: | https://journal.uokufa.edu.iq/index.php/jkmc/article/view/2209 |