Vector quantization based Codebook

Hello I jave good expertise in K means clustering and vector quantization algorithms. I can complete this task in a day. I'll attach sample of my Vector quantization code. I have my own K means code as well. function [codedData,compressionRatio] = ... vectorquantization(codebook,dataVectors) % Vector quantization of an Image % This function performs the vector quantization of an input gray scale % image data vector and gives the output which contains the coded indices. % ========================================================================= % Vector Quantization % ========================================================================= % Inputs: codebook --> Codebook consists of the representative vectors. % dataVectors --> Input data vectors. % Outputs: codedData --> Encoded values. % compressionRatio --> Compression ratio in bits per pixels % % % % ========================================================================= [nCodes,~] = size(codebook); % Number of codes in the codebook. [nVectors,nElements] = size(dataVectors); % Number of data vectors. codedData = uint8(zeros(1,nVectors)); codebook = double(codebook); distanceL2 = zeros(1,nCodes); cunt=0; for iVector = 1:nVectors for iCode = 1:nCodes distanceL2(iCode) = euclideandistance(dataVectors(iVector,:),... codebook(iCode,:)); end temp = find((distanceL2) == min(distanceL2)); if(lengt

am graduate electronics and communication engineer, please share detail , insallah i will do it please share detail

hello, kindly provide the detailed description and also the related datasets. looking forward to hearing back from you. Regards

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