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Lloyd's Method I algorithm, originally described in 1957, can be generalized in a straighforward way for application to vector data.
This generalization results in the Linde – Buzo – Gray ( LBG ) or k-means classifier optimization methods.
Moreover, the technique can be further generalized in a straightforward way to also include an entropy constraint for vector data.

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