DocumentCode
2980129
Title
An improved LSI dimension reduction algorithm based on vector space modal
Author
Zhan, Donghui ; Zhang, Hongjun ; Hao, Wenning ; Chen, Gang ; Jin, Dawei
Author_Institution
Eng. Inst. of Corps of Eng., PLA Univ. of Sci. &Technol., Nanjing, China
fYear
2012
fDate
22-24 June 2012
Firstpage
173
Lastpage
176
Abstract
There is not a good method to find k value when using LSI to reduce dimension of Vector Space Modal. to solve the problem above, an improved LSI dimension reduction algorithm called Dimension Reduction Parameter Produced algorithm (DRPP algorithm), was proposed. it adopts machine learning to find k value,instead of traditional manual set parameter. the k value can be obtained by using fit methods of statistical learning theory to fit the data. Theory analysis and experimental results show that the DRPP algorithm can enhance efficiency of dimension reduction.
Keywords
data compression; learning (artificial intelligence); statistical analysis; vectors; DRPP algorithm; LSI dimension reduction algorithm; dimension reduction parameter produced algorithm; efficiency enhancement; fit methods; k-value determination; machine learning; statistical learning theory; vector space modal; Chemicals; Computers; Industries; LSI; Vector Space Modal; dimension reduction; singular value method;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2007-8
Type
conf
DOI
10.1109/ICSESS.2012.6269433
Filename
6269433
Link To Document