Classification based on dimension transposition for high dimension data

doi:10.1007/s00500-006-0085-3

	Classification based on dimension transposition for high dimension data
	He, Qing; Zhao, Xiurong; Shi, Zhongzhi
	2007-02-01
发表期刊	SOFT COMPUTING
ISSN	1432-7643
卷号	11 期号:4 页码:329-334
摘要	Based on Jordan Curve Theorem, a universal classification method called hyper surface classification (HSC) has recently been proposed. Experimental results are exciting, which show that in three-dimensional space, this method works fairly well in both accuracy and efficiency even for large size data up to 10(7). However, designing a number of new classifiers is needed with the growing of feature dimension. To solve the problem, a kind of efficient dimension transposition method that is suitable for HSC and without losing any essential information is put forward in this paper. The dimension transposition method rearrange all of the numerals in the higher dimensional data to lower dimensional data without changing each numeral, but only change their position according to some orders. The experiment shows that the method can classify high dimension data with high accuracy.
关键词	dimension transposition SVM HSC Jordan Curve Theorem
DOI	10.1007/s00500-006-0085-3
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:000241949900005
出版者	SPRINGER
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/11035
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	He, Qing
作者单位	Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	He, Qing,Zhao, Xiurong,Shi, Zhongzhi. Classification based on dimension transposition for high dimension data[J]. SOFT COMPUTING,2007,11(4):329-334.
APA	He, Qing,Zhao, Xiurong,&Shi, Zhongzhi.(2007).Classification based on dimension transposition for high dimension data.SOFT COMPUTING,11(4),329-334.
MLA	He, Qing,et al."Classification based on dimension transposition for high dimension data".SOFT COMPUTING 11.4(2007):329-334.