全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于混淆矩阵的层次结构构造方法比较*

, PP. 205-210

Keywords: 混淆矩阵,层次结构,层次聚类,混淆类别

Full-Text   Cite this paper   Add to My Lib

Abstract:

根据混淆矩阵,采用层次聚类和混淆类别两种不同的策略构造文档类别层次结构,最后采用层次分类的方法进行实验.实验结果表明混淆类别策略优于层次聚类策略,对平面分类的查全率和查准率都有所提高.

References

[1]  Yuan Shijin, Li Ronglu, Zhou Shuigeng, et al. Hierarchical Chinese Document Categorization.Journal of China Institute of Communications, 2004, 25(11): 5563 (in Chinese) (袁时金,李荣陆,周水庚,等.层次化中文文档分类.通信学报, 2004, 25(11): 5563)
[2]  Zhan Xuegang, Lin Hongfei, Yao Tianshun. Hierarchical Method for Chinese Document Classification. Journal of Chinese Information Processing, 1999, 13(6): 2025 (in Chinese) (战学刚,林鸿飞,姚天顺.中文文献的层次分类方法.中文信息学报, 1999, 13(6): 2025)
[3]  McCallum A, Rosenfeld R, Mitchell T, et al. Improving Text Classification by Shrinkage in a Hierarchy of Classes //Proc of the 15th International Conference on Machine Learning. Madison, USA,1998: 359367
[4]  Koller D, Sahami M. Hierarchically Classifying Documents Using Very Few Words // Proc of the 14th International Conference on Machine Learning. Nashville, USA, 1997: 170178
[5]  Ruiz M E, Srinivasan P. Hierarchical Neural Networks for Text Categorization // Proc of the 22nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Berkeley, USA, 1999: 281282
[6]  Dumais S T, Chen H. Hierarchical Classification of Web Content // Belkin N J, Ingwersen P, Leong M K, eds. Proc of the 23rd ACM International Conference on Research and Development in Information Retrieval. Athens, Greece, 2000: 256263
[7]  Chakrabarti S, Dom B, Agrawal R, et al. Scalable Feature Selection, Classification and Signature Generation for Organizing Large Text Databases into Hierarchical Topic Taxonomies. International Journal on Very Large Data Bases, 1998, 7(3): 163178
[8]  Griffiths A, Robinson L A, Willett P. Hierarchic Agglomerative Clustering Methods for Automatic Document Classification. Journal of Documentation, 1984, 40(3): 175205
[9]  Wan Hao, Ren Yong, Shan Xiuming. ConfusionMatrix Based WholeAspectRange HRRP Recognition. Microelectronics & Computer, 2005, 22(3): 136143 (in Chinese) (万 昊,任 勇,山秀明.基于混淆矩阵的全方位角雷达目标识别.微电子与计算机, 2005, 22(3): 136143)
[10]  Zhang Jialu, Qi Shiqian, Yu Ge. Assessment Methods of Speech Synthesis Systems for Chinese, Acta Acustica, 1998, 23(1): 1930 (in Chinese) (张家騄,齐士钤,俞 舸.汉语语音合成系统评价方法.声学学报, 1998, 23(1): 1930)
[11]  Godbole S, Sarawagi S, Chakrabarti S. Scaling MultiClass Support Vector Machines Using InterClass Confusion // Proc of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Edmonton, Canada, 2002: 513518
[12]  Zhang Jing, Song Rui, Yu WenXian, et al. Construction of Hierarchical Classifiers Based on the Confusion Matrix and Fisher’s Principle. Journal of Software, 2005, 16(9):15601567 (in Chinese) (张 静,宋 锐,郁文贤,等.基于混淆矩阵和Fisher准则构造层次化分类器. 软件学报, 2005, 16(9):15601567)

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133