A Study on Clustering of the Online-Handwriting of Uyghur Based on Improved K-Neighbor Classifier
Ling Wang, I. Dawa, Guo Ping Su, Slam Wshour · Advanced materials research · 2013
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.