A Study on Clustering of the Online-Handwriting of Uyghur Based on Improved K-Neighbor Classifier
2013 ◽
Vol 846-847
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pp. 1115-1119
Keyword(s):
Online-handwriting of Uyghur word categorization (UWC) based on improved K-NN is studied in this paper. Firstly, features are selected by correlation analysis method (CAM), and correlation is measured by linear correlation coefficient (LCC). Secondly, K-NN algorithm is improved and classifier is established. Finally, the classifier is applied in UWC. The experiment results show that the method has good performance on online handwriting of UWC.
2021 ◽
2011 ◽
Vol 4
(4)
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pp. 214-222
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