A two stage vector quantization approach via self-organizing map
Xu, Lixin, Liu, W. Q. and Venkatesh, Svetha 2002, A two stage vector quantization approach via self-organizing map, in ICSP' 02 : 6th International Conference on Signal Processing proceedings, IEEE, Piscataway, N. J., pp. 913-916, doi: 10.1109/ICOSP.2002.1181205.
In this paper, a two-stage algorithm for vector quantization is proposed based on a self-organizing map (SOM) neural network. First, a conventional self-organizing map is modified to deal with dead codebooks in the learning process and is then used to obtain the codebook distribution structure for a given set of input data. Next, subblocks are classified based on the previous structure distribution with a prior criteria. Then, the conventional LBG algorithm is applied to these sub-blocks for data classification with initial values obtained via the SOM. Finally, extensive simulations illustrate that the proposed two-stage algorithm is very effective.
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