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.
Published Date: May 2001
Registration: ISBN 978-1-57735-133-7
Copyright: Published by The AAAI Press, Menlo Park, California.