Feature selection optimization using hybrid relief-f with self-adaptive differential evolution

• Main Authors: Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran, Ahmad Nazri, Azree Shahrel, Mohamed, Raihani, Abd Manaf, Syaifulnizam
• Format: Article
• Language: English
• Published: Intelligent Networks and Systems Society 2017
• Online Access: http://psasir.upm.edu.my/id/eprint/64660/1/Feature%20selection%20optimization%20using%20hybrid%20relief-f%20with%20self-adaptive%20differential%20evolution.pdf; http://psasir.upm.edu.my/id/eprint/64660/; http://www.inass.org/abstract2017/ijies2017043003.html

In various classification areas, the curse of dimensionality becomes a major challenge among the researchers. Thus, feature selection plays an important role in overcoming dimensionality problem. Relief-f is one of the filter methods to rank the most significant features based on their relevance. Al...