Comparison of Algorithms for Clustering Incomplete Data
The missing values are not uncommon in real data sets. The algorithms and methods used for the data analysis of complete data sets cannot always be applied to missing value data. In order to use the existing methods for complete data, the missing value data sets are preprocessed. The other solution...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2014-05-01
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| Series: | Foundations of Computing and Decision Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/fcds-2014-0007 |