Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
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...
PLASTIC [1] is a recently-proposed tool to help query optimizers significantly amortize optimization overheads through a technique of plan recycling. The tool groups similar quer...
The development of tools for the organization of large quantities of Web bookmarks is an increasingly challenging task since more and more Web information becomes available and ha...
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...