A Comparative Study of Locality Preserving Projection and Principle Component Analysis on Classification Performance Using Logistic Regression

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ISSN Print: 2327-7211
ISSN Online: 2327-7203
www.scirp.org/journal/jdaip
E-mail: jdaip@scirp.org

"A Comparative Study of Locality Preserving Projection and Principle Component Analysis on Classification Performance Using Logistic Regression"
written by Azza Kamal Ahmed Abdelmajed,
published by Journal of Data Analysis and Information Processing, Vol.4 No.2, 2016

has been cited by the following article(s):

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	Multimedia Tools and Applications, 2023

[2]	A comparative study of SLMVP dimensionality reduction technique applied to classification problems
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[3]	2D object recognition: a comparative analysis of SIFT, SURF and ORB feature descriptors
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[4]	Power quality disturbances classification based on curvelet transform
	International Journal of Computers and Applications, 2017

[1]	Cattle identification system: a comparative analysis of SIFT, SURF and ORB feature descriptors Multimedia Tools and Applications, 2023 DOI:10.1007/s11042-023-14478-y

[2]	Cattle identification system: a comparative analysis of SIFT, SURF and ORB feature descriptors Multimedia Tools and Applications, 2023 DOI:10.1007/s11042-023-14478-y

[3]	2D object recognition: a comparative analysis of SIFT, SURF and ORB feature descriptors Multimedia Tools and Applications, 2021 DOI:10.1007/s11042-021-10646-0

[4]	Power quality disturbances classification based on curvelet transform International Journal of Computers and Applications, 2017 DOI:10.1080/1206212X.2017.1398213

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