Many different relative clustering validity criteria exist that are very useful in practice as quantitative measures for evaluating the quality of data partitions, and new criter...
Lucas Vendramin, Ricardo J. G. B. Campello, Eduard...
Abstract. In this paper we introduce a general framework for hierarchical clustering that deals with both static and dynamic data sets. From this framework, different hierarchical...
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Performance evaluation using only a subset of programs from a benchmark suite is commonplace in computer architecture research. This is especially true during early design space e...
Scalability is a crucial factor in performance evaluation and analysis of parallel and distributed systems. Much effort has been devoted to scalability research and several metric...