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
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;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2007-8
DOI :
10.1109/ICSESS.2012.6269433