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

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Samir Brahim Belhaouari;
(2009)

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