— Recent work has revealed a close connection between certain information theoretic divergence measures and properties of Mercer kernel feature spaces. Specifically, it has been...
This paper describes an object-oriented software architecture for cluster integration and management that enables extensibility, portability, and scalability. This architecture ha...
James H. Laros III, Lee Ward, Nathan W. Dauchy, Ro...
Fault tolerance is one of the key issues for large scale applications executed on high performance computing systems. In a cluster federation, clusters are gathered to provide hug...
This paper deals with clustering of spatially distributed data using wireless sensor networks. A distributed low-complexity clustering algorithm is developed that requires one-hop...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...
This paper proposes an organized generalization of Newman and Girvan’s modularity measure for graph clustering. Optimized via a deterministic annealing scheme, this measure prod...