Understanding Mahalanobis Distance Criterion for Feature Selection

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...

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Bibliographic Details
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:
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
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