—In this paper, we present three different methods for implementing the Probabilistic Neural Network on a Beowulf cluster computer. The three methods, Parallel Full Training Set ...
Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof...
—Algorithmic enhancements are described that enable large computational reduction in mean square-error data clustering. These improvements are incorporated into a parallel data-c...
— This paper describes WOW, a distributed system that combines virtual machine, overlay networking and peerto-peer techniques to create scalable wide-area networks of virtual wor...
Arijit Ganguly, Abhishek Agrawal, P. Oscar Boykin,...
The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
In a serverless cluster of PCs or workstations, the cluster must allow remote file accesses or parallel I/O directly performed over disks distributed to all client nodes. We intro...