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  • Comments on "Modified K-means algorithm for vector quantizer design"

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    Author(s)
    Paliwal, KK
    Ramasubramanian, V
    Griffith University Author(s)
    Paliwal, Kuldip K.
    Year published
    2000
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    Abstract
    Recently a modified -means algorithm for vector quantization design has been proposed where the codevector updating step is as follows: new codevector = current codevector + scale factor (new centroid current codevector). This algorithm uses a fixed value for the scale factor. In this paper, we propose the use of a variable scale factor which is a function of the iteration number. For the vector quantization of image data, we show that it offers faster convergence than the modified -means algorithm with a fixed scale factor, without affecting the optimality of the codebook.Recently a modified -means algorithm for vector quantization design has been proposed where the codevector updating step is as follows: new codevector = current codevector + scale factor (new centroid current codevector). This algorithm uses a fixed value for the scale factor. In this paper, we propose the use of a variable scale factor which is a function of the iteration number. For the vector quantization of image data, we show that it offers faster convergence than the modified -means algorithm with a fixed scale factor, without affecting the optimality of the codebook.
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    Journal Title
    IEEE Transactions on Image Processing
    Volume
    9
    Issue
    11
    Publisher URI
    http://www.ieee.org/portal/site
    DOI
    https://doi.org/10.1109/83.877216
    Copyright Statement
    © 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    Subject
    Cognitive and computational psychology
    History, heritage and archaeology
    Publication URI
    http://hdl.handle.net/10072/3039
    Collection
    • Journal articles

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