Supervised, unsupervised, and semi-supervised feature selection: a review on gene selection

• Main Authors: Ang, J. C., Mirzal, A., Haron, H., Hamed, H. N. A.
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/72142/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84990888711&doi=10.1109%2fTCBB.2015.2478454&partnerID=40&md5=362030937aa305290de4691d6cc15903
• Institution: Universiti Teknologi Malaysia

Recently, feature selection and dimensionality reduction have become fundamental tools for many data mining tasks, especially for processing high-dimensional data such as gene expression microarray data. Gene expression microarray data comprises up to hundreds of thousands of features with relativel...