Improving kNN Text Categorization by Removing Outliers from Training Set

机译：通过从训练集中删除异常值来改进kNN文本分类

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摘要

We show that excluding outliers from the training data significantly improves kNN classifier, which in this case performs about 10% better than the best know method—Centroid-based classifier. Outliers are the elements whose similarity to the centroid of the corresponding category is below a threshold.

机译：我们表明，从训练数据中排除异常值可以显着改善kNN分类器，在这种情况下，该算法的性能要比最佳方法-基于中心的分类器好10％。离群值是与相应类别的质心的相似度低于阈值的元素。

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来源
《International Conference on Computational Linguistics and Intelligent Text Processing(CICLing 2006); 20060219-25; Mexico City(MX)》|2006年|P.563-566|共4页
会议地点 Mexico City(MX)
作者
Kwangcheol Shin; Ajith Abraham; Sang Yong Han;
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作者单位

School of Computer Science and Engineering, Chung-Ang University, 221, Heukseok-dong, Dongjak-gu, Seoul 156-756, Korea;

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原文格式 PDF
正文语种 eng
中图分类程序语言、算法语言;
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1. Text Categorization using Reduced Training Set [J] . Mohamed Goudjil, Mouloud Koudil, Mouldi Bedda, Research journal of applied science, engineering and technology . 2015,第12期

机译：使用精简训练集进行文本分类
2. Text Categorization using Reduced Training Set [J] . Mohamed Goudjil, Mouloud Koudil, Mouldi Bedda, Research journal of applied science, engineering and technology . 2015,第12期

机译：使用精简训练集进行文本分类
3. Parallel Training of An Improved Neural Network for Text Categorization [J] . Cheng Hua Li, Laurence T. Yang, Man Lin International journal of parallel programming . 2014,第3期

机译：用于文本分类的改进神经网络的并行训练
4. Improving kNN Text Categorization by Removing Outliers from Training Set [C] . Kwangcheol Shin, Ajith Abraham, Sang Yong Han International Conference on Computational Linguistics and Intelligent Text Processing . 2006

机译：通过从训练集中删除异常值来提高KNN文本分类
5. The implementation of dynamic document organization using the integration of text clustering and text categorization. [D] . Jo, Taeho. 2006

机译：使用文本聚类和文本分类的集成来实现动态文档组织。
6. Comparison of kNN and k-means optimization methods of reference set selection for improved CNV callers performance [O] . Wiktor Kuśmirek, Agnieszka Szmurło, Marek Wiewiórka, 2019

机译：改进的CNV呼叫者性能的参考集选择的kNN和k-means优化方法的比较
7. Improving kNN Text Categorization by Removing Outliers from Training Set* [O] . Kwangcheol Shin, Ajith Abraham, Sang Yong Han 2008

机译：通过从训练集中删除异常值来改进kNN文本分类*

Improving kNN Text Categorization by Removing Outliers from Training Set

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