An Analysis Of Two Dimensionality Reduction Techniques On The Performance Of Neural Network Classifiers

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An Analysis Of Two Dimensionality Reduction Techniques On The Performance Of Neural Network Classifiers

This project involves an analysis of the effectiveness of two dimensionality reduction techniques, i.e., Principal Component Analysis as the standard approach and Random Projection as a recent technique. The study is based on the performance of two supervised neural network classifiers i.e., S...

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Bibliographic Details
Main Author:	Ong, Siok Lan
Format:	Monograph
Language:	English
Published:	Universiti Sains Malaysia 2005
Subjects:	T Technology TK Electrical Engineering. Electronics. Nuclear Engineering
Online Access:	http://eprints.usm.my/57588/ http://eprints.usm.my/57588/1/An%20Analysis%20Of%20Two%20Dimensionality%20Reduction%20Techniques%20On%20The%20Performance%20Of%20Neural%20Network%20Classifiers_Ong%20Siok%20Lan.pdf

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