A Lattice-Based Approach to Hierarchical Clustering

Zdravko Markov, Central Connecticut State University, CT

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.

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