Agglomerative Clustering is a hierarchical clustering technique that builds nested clusters by successively merging or splitting them based on a distance metric. It is particularly useful for identifying natural groupings in data when the number of clusters is not known beforehand, as it provides a dendrogram to visualize the data's structure at different levels of granularity.