Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Abstract-- This paper describes a framework for constructing a three-dimensional immersive environment that can be used for training physical activities. The system is designed to ...
—The industry is now in agreement that the future of architecture design lies in multiple cores. As a consequence, all computer systems today, from embedded devices to petascale ...