The Lloyd-Max quantizer is a scalar quantizer which can be seen as a special case of a vector quantizer (VQ) designed with the Linde Buzo Gray (LBG) algorithm.
In k-means clustering, we are given a set of n data points in d-dimensional space and an integer k and the problem is to determine a set of k points in $R^d$, called centers, so as to minimize the mean squared distance from each data point to its nearest center. A popular heuristic for k-means clustering is Lloyd's (1982) algorithm.
Is the Lloyd-Max algorithm alternatively in short called the Lloyd's algorithm ? Or are they completely different?
I am very confused, please help. Thank you.