• DocumentCode
    1157527
  • Title

    Clustering of Gaussian probability density functions using centroid neural network

  • Author

    Park, Dong-Chul ; Kwon, Oh-Hyun ; Suk, Minsoo

  • Author_Institution
    Dept. of Inf. Eng., Myong Ji Univ., KyungKi-Do, South Korea
  • Volume
    39
  • Issue
    4
  • fYear
    2003
  • fDate
    2/20/2003 12:00:00 AM
  • Firstpage
    381
  • Lastpage
    382
  • Abstract
    An unsupervised competitive neural network algorithm for clustering mixtures of Gaussian probability density functions is proposed. The algorithm based on centroid neural network with Bhattacharyya distance is evaluated in the context of speech recognition and the results show that it can reduce the Gaussian mixtures by almost 60% over the k-means algorithm.
  • Keywords
    Gaussian distribution; hidden Markov models; neural nets; pattern clustering; speech recognition; unsupervised learning; Bhattacharyya distance; Gaussian probability density function; centroid neural network; clustering analysis; continuous density hidden Markov model; speech recognition; unsupervised competitive learning algorithm;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20030247
  • Filename
    1184080
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1157527