I'm doing some research into clustering algorithms and every source I seem to find discusses 2D (or higher-dimensional) clustering of continuous data. The nearest thing I've found to what I'm looking for is this article which discusses discrete-continuous clustering (where the x and y axes are quantized into cells, but the z axis is allowed to vary continuously).

Has anyone come across any algorithms which perform cluster analysis of purely discrete data? Specifically 2D?