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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| Format: | Citation Index Journal |
| Published: |
Word Academy of Science
2009
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| Online Access: | http://eprints.utp.edu.my/2719/1/C_K_NN.pdf http://eprints.utp.edu.my/2719/ |
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