The Mixture of Pattern Aggregation and CHI Statistical Techniques of the Categorization Research in Uyghur
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Abstract
Feature selection in pattern recognition, data mining, and other fields has a very wide application. Compared with a variety of feature selection methods in the practical application of the Uyghur text categorization, this paper uses CHI statistical method for feature selection, as traditional CHI statistic is calculated only showing the entry of contribution degree, but not explaining entries and the categories of correlation, and therefore, this paper improves the CHI statistic, and combines with pattern aggregation method, so as to realize the Uyghur text feature selection. Experimental results show that the proposed approach in this paper can not only save the time of feature selection and classification, but also greatly improve the quality of the classification.
Publication details
- DOI
- 10.22323/1.264.0033
- OpenAlex
- W2794150700
- Document type
- conference-paper
- Language
- EN
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