Tree-based distance clustering over distributed database objects

In this paper we propose a novel tree-based distance function for supporting clustering over distributed database objects. Our proposal exposes several aspects of research innovation, which are truly established by an experimental assessment of the accuracy of the proposed framework in computing the final clusters against both benchmark and real-life data sets.