In this paper, we introduce a new agglomerative clustering algorithm in which eadl pal.tcIIi duster is represented by a collection of fmzy hyperboxes. Initially, a number of such hyperboxes arc calculated to represent the pattern samples. Then, the algorithm applies multi-resolution techniqlle.'i to progressively "combine~these hyper boxes in a hierarchial manner. Stich an agglomerative scheme has been found to yield encouraging results in real-world clustering problems.