• DocumentCode
    1263955
  • Title

    A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data

  • Author

    Campello, Ricardo J. G. B. ; Moulavi, D. ; Sander, Joerg

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
  • Volume
    9
  • Issue
    6
  • fYear
    2012
  • Firstpage
    1850
  • Lastpage
    1852
  • Abstract
    In [1], the authors proposed a framework for automated clustering and visualization of biological data sets named AUTO-HDS. This letter is intended to complement that framework by showing that it is possible to get rid of a userdefined parameter in a way that the clustering stage can be implemented more accurately while having reduced computational complexity.
  • Keywords
    bioinformatics; computational complexity; data mining; data visualisation; pattern clustering; AUTO-HDS framework; biological data clustering; biological data visualization; computational complexity; Bioinformatics; Clustering algorithms; Complexity theory; Data mining; Data visualization; AUTO-HDS; Data mining; bioinformatics databases; clustering; Algorithms; Cluster Analysis; Computational Biology; Data Mining; Databases, Factual; Software;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2012.115
  • Filename
    6268266
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1263955