Ward's method is one of "linkage rules" in hierarchical agglomerative cluster analysis. In Ward's method, those two clusters are chosen to merge at each step that would yield the lowest increase in error sum of squares.
Ward's method is a rule for determining which clusters to merge next during hierarchical agglomerative clustering. In Ward's method, the 2 clusters that would yield the lowest error sum of squares are chosen.