Integration Of Unsupervised Clustering Algorithm And Supervised Classifier For Pattern Recognition

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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书目详细资料
主要作者:	Leong, Shi Xiang
格式:	Thesis
语言:	English
出版:	2017
主题:	TK1-9971 Electrical engineering Electronics Nuclear engineering
在线阅读:	http://eprints.usm.my/39416/1/Leong_Shi_Xiang_24_Pages.pdf
标签:	添加标签没有标签, 成为第一个标记此记录!

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