Feature selection of high dimensional data using Hybrid FSA-IG

• Main Authors: Mohd. Rosely, Nur Fatin Liyana, Mohd. Zain, Azlan, Yusoff, Yusliza
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: QA75 Electronic computers. Computer science
• 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

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...