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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| Format: | Thesis |
| Language: | English |
| Published: |
2017
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| Online Access: | http://eprints.usm.my/39416/1/Leong_Shi_Xiang_24_Pages.pdf http://eprints.usm.my/39416/ |
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