| 基于SVM—KNN的文本分类算法及其分析 |
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| 引用本文： | 匡春临,夏清强.基于SVM—KNN的文本分类算法及其分析[J].计算机时代,2010(8):29-31,34. |
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| 作者姓名： | 匡春临 夏清强 |
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| 作者单位： | 1. 洛阳师范学院,河南,洛阳,471022
2. 洛阳市教育局 |
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| 摘 要： | 通过实验对SVM、KNN文本分类算法进行了深入探讨。基于KNN和SVM算法，提出了一种SVM．KNN算法。该算法结合KNN和SVM两种分类器，并通过分类预测概率的反馈和修正来提高分类器性能。在CWT100G中文网页分类测试系统中，对SVM．KNN算法的实际效果进行了测试和算法性能验证。
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| 关 键 词： | 文本分类 SVM KNN SVM—KNN 算法比较 |
Analysis on Text Classification Algorithm Based on SVM-KNN |
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| KUANG Chun-lin,XIA Qing-qiang.Analysis on Text Classification Algorithm Based on SVM-KNN[J].Computer Era,2010(8):29-31,34. |
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| Authors: | KUANG Chun-lin XIA Qing-qiang |
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| Affiliation: | 1. Luoyang Normal University, Luoyang, Henan 471022, China; 2. Luoyang Education Bureau) |
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| Abstract: | Through experiments SVM and KNN text classification algorithms are further discussed. Based on SVM and KNN algorithms, a SVM-KNN algorithm is put forward. Combining KNN and SVM classifiers, the SVM-KNN algorithm can improve the performance of classifier by the feedback and improvement of classifying prediction probability. In CWT100G Chinese web page classification test system, the actual effect of SVM-KNN algorithm is tested and the performance of it is proved. |
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| Keywords: | SVM KNN SVM-KNN |
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