Understanding Mahalanobis Distance Criterion for Feature Selection

• Main Authors: Maz Jamilah, Masnan, Nor Idayu, Mahat, Ali Yeon, Md Shakaff, Abu Hassan, Abdullah, Nur Zawatil, Ishqi Zakaria, Nurlisa, Yusuf, Norazian, Subari, Ammar, Zakaria, Abdul Hallis, Abdul Aziz
• Format: Conference or Workshop Item
• Language: English; English
• Published: 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/10467/1/Understanding%20Mahalanobis%20Distance%20Criterion%20for%20Feature%20Selection.pdf; http://umpir.ump.edu.my/id/eprint/10467/6/Understanding%20Mahalanobis%20Distance%20Criterion%20for%20Feature%20Selection.pdf; http://umpir.ump.edu.my/id/eprint/10467/; http://dx.doi.org/10.1063/1.4915708

Distance criteria are widely applied in cluster analysis and classification techniques. One of the well known and most commonly used distance criteria is the Mahalanobis distance, introduced by P. C. Mahalanobis in 1936. The functions of this distance have been extended to different problems such a...