Feature selection of high dimensional data using Hybrid FSA-IG
Feature selection (FS) is a process of selecting a subset of relevant features depends on the specific target variables especially when dealing with high dimensional dataset. The aim of this paper is to investigate the performance comparison of different feature selection techniques on high dimensio...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/92504/1/NurFatinLiyana2020_FeatureSelectionofHighDimensionalData.pdf http://eprints.utm.my/id/eprint/92504/ http://dx.doi.org/10.1088/1757-899X/864/1/012066 |
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