Integration Of Unsupervised Clustering Algorithm And Supervised Classifier For Pattern Recognition

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Integration Of Unsupervised Clustering Algorithm And Supervised Classifier For Pattern Recognition

In a real world, pattern recognition problems in diversified forms are ubiquitous and are critical in most human decision making tasks. In pattern recognition system, achieving high accuracy in pattern classification is crucial. There are two general paradigms for pattern recognition classification...

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Bibliographic Details
Main Author:	Leong, Shi Xiang
Format:	Thesis
Language:	English
Published:	2017
Subjects:	TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Online Access:	http://eprints.usm.my/39416/ http://eprints.usm.my/39416/1/Leong_Shi_Xiang_24_Pages.pdf

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