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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書目詳細資料
主要作者:	Leong, Shi Xiang
格式:	Thesis
語言:	English
出版:	2017
主題:	TK1-9971 Electrical engineering Electronics Nuclear engineering
在線閱讀:	http://eprints.usm.my/39416/1/Leong_Shi_Xiang_24_Pages.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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