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...
Main Authors: | , , , , , , , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
2015
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/10467/ http://umpir.ump.edu.my/id/eprint/10467/ 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 |
Internet
http://umpir.ump.edu.my/id/eprint/10467/http://umpir.ump.edu.my/id/eprint/10467/
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