Fast and Accuracy Control Chart Pattern Recognition using a
New cluster-k-Nearest Neighbor

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Fast and Accuracy Control Chart Pattern Recognition using a New cluster-k-Nearest Neighbor

By taking advantage of both k-NN which is highly accurate and K-means cluster which is able to reduce the time of classi¯cation, we can introduce Cluster-k-Nearest Neighbor as "variable k"-NN dealing with the centroid or mean point of all subclasses generated by clustering algorithm. In...

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Bibliographic Details
Main Author:	Brahim Belhaouari, samir
Format:	Citation Index Journal
Language:	English
Published:	Word Academy of Science 2009
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://scholars.utp.edu.my/id/eprint/2719/ http://scholars.utp.edu.my/id/eprint/2719/1/C_K_NN.pdf

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