A Lattice-Based Approach to Hierarchical Clustering

The paper presents an approach to hierarchical clustering based on the use of a least general generalization (lgg) operator to induce a lattice structure of clusters and a category utility objective function to evaluate the clustering quality. The objective function is integrated with a lattice-based distance measure into a bottom-up control strategy for clustering. Experiments with well-known datasets are discussed.