In agglomerative methods of hierarchical cluster analysis, the clusters obtained at the previous step are fused into larger clusters. Agglomerative methods start with N clusters comprising a single object, then on each step two clusters from the previous step are fused into a bigger cluster. The criterion of such fusion is the minimal distance between the two clusters to be fused, as specified by the chosen linkage function.
A complementary concept is divisive methods.