摘要：The paper presents an instance of our general semantic-based approach to creating concept hierarchies [7] particularly tuned for better performance on data represented with attribute-value and atomic formulae languages. We achieve this goal by incorporation of category utility and partition utility functions in its distance measure. Finally, we compare the performance of augmented algorithm to that of the COBWEB implementation given in the WEKA 3 ML system.
关键词：lattice theory; distances; category utility; partition utility; hierarchical ;clustering; least general generalization (lgg).
