Clustering algorithms for library comparison

摘要

Database comparison is an important area of research. Comparison of databases is at two levels: data level and structure level. In this paper, we investigate the applicability of the conventional clustering algorithms for the purposes of database comparison at both the data level and the structure level. We propose a knowledge-based clustering approach for structure level comparison. The above algorithms have been implemented in LISP and are used for the comparison of library databases.