• 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