Classification based on dimension transposition for high dimension data
文献类型:期刊论文
作者 | He, Qing; Zhao, Xiurong; Shi, Zhongzhi |
刊名 | SOFT COMPUTING
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出版日期 | 2007-02-01 |
卷号 | 11期号:4页码:329-334 |
关键词 | dimension transposition SVM HSC Jordan Curve Theorem |
ISSN号 | 1432-7643 |
DOI | 10.1007/s00500-006-0085-3 |
英文摘要 | 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. |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000241949900005 |
出版者 | SPRINGER |
源URL | [http://119.78.100.204/handle/2XEOYT63/11034] ![]() |
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. |
入库方式: OAI收割
来源:计算技术研究所
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