• DocumentCode
    2882218
  • Title

    A modified algorithm for the fast processing with the Growing Self-Organizing Map

  • Author

    Yu, Yaohua ; Alahakoon, Damminda

  • Author_Institution
    Monash Univ., Clayton
  • fYear
    2006
  • fDate
    15-17 Dec. 2006
  • Firstpage
    140
  • Lastpage
    145
  • Abstract
    The Growing Self-organizing map algorithm (GSOM) has been developed based on SOM. With its dynamic structure, GSOM can generate feature maps without predetermining their size. It has shown many significant advantages when processing very large data sets. These advantages could be further enhanced if the processing speed of the algorithm could be increased. This paper presents a modified version of GSOM, which implements the batch processing principle to shorten the processing time. The algorithm and experimental results showing the improved performance are presented in this paper.
  • Keywords
    batch processing (computers); self-organising feature maps; batch processing; data sets; growing self-organizing map; Clustering algorithms; Information technology; Probability density function; Size control; Vector quantization; Growing Self-Organizing Map; batch processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2006. ICIA 2006. International Conference on
  • Conference_Location
    Shandong
  • Print_ISBN
    1-4244-0555-6
  • Electronic_ISBN
    1-4244-0555-6
  • Type

    conf

  • DOI
    10.1109/ICINFA.2006.374097
  • Filename
    4250187