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On the computational complexity of the LBG and PNN algorithms
1Dept. of Electr. and Comput. Eng., Wollongong Univ., NSW.
Abstract:
This correspondence compares the computational complexity of the pair-wise nearest neighbor (PNN) and Linde-Buzo-Gray (LBG) algorithms by deriving analytical expressions for their computational times. It is shown that for a practical codebook size and training vector sequence, the LBG algorithm is indeed more computationally efficient than the PNN algorithm.
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