In this paper, we present an approach that examines the evolution of code stored in source control repositories. The technique identifies Change Clusters, which can help managers...
Jay Kothari, Ali Shokoufandeh, Spiros Mancoridis, ...
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
At our university, we have a number of small-tomedium-size compute clusters and some technical simulations which could benefit from using several of these clusters simulaneously....
This paper describes how the London e-Science Centre cluster MARS, a production 400+ Opteron CPU cluster, was integrated into the production Large Hadron Collider Compute Grid. It...
David McBride, Marko Krznaric, Olivier van der Aa,...