• DocumentCode
    2207037
  • Title

    Assessing the Significance of Groups in High-Dimensional Data

  • Author

    McLachlan, Geoff

  • Author_Institution
    Dept. of Math., Univ. of Queensland, Brisbane, QLD, Australia
  • fYear
    2010
  • fDate
    13-17 Dec. 2010
  • Firstpage
    6
  • Lastpage
    6
  • Keywords
    bioinformatics; data mining; pattern classification; sampling methods; bioinformatics literature; bootstrap sample; cluster analytic procedure; data mining; error rate estimation; factor analytic model; high dimensional data; labelled training data; null hypothesis; optimistic assessment; resampling approach; supervised classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining (ICDM), 2010 IEEE 10th International Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    1550-4786
  • Print_ISBN
    978-1-4244-9131-5
  • Electronic_ISBN
    1550-4786
  • Type

    conf

  • DOI
    10.1109/ICDM.2010.171
  • Filename
    5693952
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2207037