Optimization based clustering algorithms in Multicast group Hierarchies
Long Jia, A. Bagirov, I. Ouveysi, A. M. Rubinov · FedUni ResearchOnline (Federation University Australia) · 2003
In this paper we propose the use of optimization based clustering algorithms to determine hierarchical multicast trees. This problem is formulated as an optimization problem with a non-smooth, non-convex objective function. Di#erent algorithms are examined for solving this problem. Results of numerical experiments using some artificial and real-world databases are reported. We compare several optimization based clustering methods and their combinations with the k- means method. The results demonstrate the e#ectiveness of these algorithms.