| 一种改进的KNN文本分类算法 |
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| 作者姓名： | 刘辉 应培培 |
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| 作者单位： | 辽宁工程技术大学,辽宁葫芦岛,125105 |
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| 摘 要： | 本文介绍了基于KNN算法的文本分类流程及相关技术,针对KNN文本分类算法过分依赖K值和文本集分布情况的不足之处,提出了一种改进的KNN文本分类算法一类内均值KNN算法。通过实验表明,相对于传统的KNN算法,该算法提高了文本分类系统的稳定性和分类性能,具有一定的应用价值。
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| 关 键 词： | 文本分类 分类流程 KNN K值 |
An Improved KNN Algorithm for Text Classification |
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| Authors: | Liu Hui Ying Pei-pei |
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| Affiliation: | Liu Hui Ying Pei-pei (Liaoning Technical University Liaoning Huiudao 125105) |
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| Abstract: | This paper describes text classification process and related technologies which based on KNN algorithm.Over-reliance on K value and text set distribution are the deficiencies of KNN classification algorithm,an improved KNN classification algorithm has been presented in order to overcome it. Experiments showed that,compared with the traditional KNN algorithm,this algorithm improves the text classification system stability and classification performance. |
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| Keywords: | text classification classification process KNN K Value |
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