Vector Quantization using partition and codebook

I have a vector range from -64 to 64, how can I quantize that vector using partition and codebook ?

[Davide Dias]

help lloyds

 lloyds Optimize quantization parameters using the Lloyd algorithm.
    [PARTITION, CODEBOOK] = lloyds(TRAINING_SET, INI_CODEBOOK) optimizes the
    scalar quantization PARTITION and CODEBOOK based on the provided training
    vector TRAINING_SET using the Lloyd algorithm. The data in the variable
    TRAINING_SET should be typical data for the message source to be quantized.
    INI_CODEBOOK is the initial guess of the codebook values. The optimized
    CODEBOOK has the same vector size as INI_CODEBOOK. When INI_CODEBOOK is a
    scalar integer instead of vector, it is the length of the desired CODEBOOK
    vector. PARTITION is a vector of length equal to CODEBOOK vector length 
    minus 1. The optimization will be terminated if the relative distortion
    is less than 10^(-7).

    [PARTITION, CODEBOOK] = lloyds(TRAINING_SET, INI_CODEBOOK, TOL) provides the
    tolerance in the optimization.

    [PARTITION, CODEBOOK, DISTORTION] = lloyds(...) outputs the final distortion
    value.

    [PARTITION, CODEBOOK, DISTORTION, REL_DISTORTION] = lloyds(...) outputs the
    relative distortion value in terminating the computation.

    See also quantiz, dpcmopt.

    Reference page for lloyds