• DocumentCode
    3626054
  • Title

    Self-organizing maps and SVD

  • Author

    Jiri Dvorsky

  • Author_Institution
    Technical University of Ostrava, Czech Republic
  • fYear
    2007
  • Firstpage
    143
  • Lastpage
    147
  • Abstract
    Mean square error is usual method to measure quality of self-organizing map (SOM). MSE brings good theoretical description about learning process, but its rather hard to decide what MSE is small enough, or when learning should be stoped. A new technique for measurement of quality of SOM using singular value decomposition will be presented in this paper.
  • Keywords
    "Self organizing feature maps","Matrix decomposition","Sparse matrices","Singular value decomposition","Neurons","Clustering algorithms","Vector quantization","Databases","Expert systems","Mean square error methods"
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2007. DEXA ´07. 18th International Workshop on
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-2932-1;978-0-7695-2932-5
  • Type

    conf

  • DOI
    10.1109/DEXA.2007.86
  • Filename
    4312874
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3626054