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基于方差的CHI特征选择方法 预览 被引量:26

CHI feature selection method based on variance
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摘要 通过分析特征词与类别间的相关性,在原有的卡方特征选择的方法上增加三个调节参数,使选出的特征词集中分布在某一类,且在某一类中尽可能地均匀分布,并使特征词在某一类中出现的次数尽可能地多。通过实验对比改进前后的卡方特征选择方法,基于方差的卡方统计(Var-CHI)方法使得查全率和查准率都得到了明显的提高。 In order to make the features selected are distributed intensively in a certain class,evenly in that certain class as much as possible,and make features appear in that certain class as many as possible,this paper added three adjusted parameters to the originally traditional CHI-square feature selection method through analyzing the relevance between features and classes.Var-CHI statistic method based on variance makes the precision and recall improved apparently by comparing the experiments of the traditional CHI-square feature selection method and the improved one.
作者 邱云飞 王威 刘大有 邵良杉 QIU Yun-fei1,2,WANG Wei1,LIU Da-you2,SHAO Liang-shan1(1.School of Software,Liaoning Technical University,Huludao Liaoning 125105,China;2.College of Computer Science & Technology,Jilin University,Changchun 130012,China)
出处 《计算机应用研究》 CSCD 北大核心 2012年第4期 1304-1306,共3页 Application Research of Computers
基金 国家自然科学基金资助项目(70971059) 辽宁省创新团队资助项目(2009T045)
关键词 文本分类 特征选择 卡方统计量 方差 text classification feature selection CHI-square statistic variance
作者简介 作者简介:邱云飞(1976-),男,辽宁阜新人,副教授,博士,主要研究方向为数据挖掘理论及其应用(qyf321@sohu.com); 王威(1987-),女,硕士研究生,主要研究方向为数据挖掘、社会网络分析; 刘大有(1942-),男,教授,博导,主要研究方向为知识工程与专家系统、数据挖掘等; 邵良杉(1961-),教授,博导,主要研究方向为数据挖掘.
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  • 1于慧敏,徐艺,刘继忠,高晓颖.基于水平集的多运动目标时空分割与跟踪[J].中国图象图形学报,2007,12(7):1218-1223. 被引量:8
  • 2BAI Ke-jia, LIU Wei-ming. Improved object tracking with particle filter and Mean-shift [ C ]//Proc of IEEE International Conference on Automation and Logistics. 2007:18-21. 被引量:1
  • 3ZHANG Li-ke,ZHAO Hong-guang. Real-time Mean-shift tracking using the Gabor wavelet [ C ]//Proc of IEEE International Conference on Mechatronics and Automation. 2007:5-8. 被引量:1
  • 4STOLKIN R, FLORESCU I, BARON M,et al. Efficient visual servoing with the ABCshift tracking algorithm[ C ]//Proc of IEEE International Conference on Robotics and Automation. 2008:3219-3224. 被引量:1
  • 5PORIKLI F. Integral histogram : a fast way to extract histograms in Cartesian spaces [ C ]//Proc of IEEE Computer Society Conference on CVPR' 05. Washington DC : IEEE Computer Society,2005 : 829- 836. 被引量:1
  • 6COLLINS R T,LIU Yan-xi,LEORDEANU M. Online selection of discriminative tracking features[J]. IEEE Trans on Pattern Analysis and Machine Intelligence,2005,27(10) :1578,1591. 被引量:1
  • 7LEICHTER I, LINDENBAUM M M, RIVLIN E. Tracking by affine kernel transformations using color and boundary cues [ J ]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2009,31 (1) :164-171. 被引量:1
  • 8HUA J S,JUAN Chung-wei. A spatial-color Mean-shift object tracking algorithm with scale and direction estimation [ J ]. Pattern Recognition Letters ,2008,29(16) :2165-2173. 被引量:1
  • 9MAGGIO E, CAVALLARO A. Accurate appearance-based Bayesian tracking for maneuvering targets [ J]. Computer Vision and Image Understanding,2009,113 (4) :544-555. 被引量:1
  • 10GUNNARSSON F, BERGMAN N. Particle filter for positioning, navigation,and tracking[ J]. IEEE Trans on Signal Processing,2002, 50(2) :425-437. 被引量:1

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