Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Spatial clustering is an important topic in knowledge discovery research. However, most clustering methods do not consider semantic information during the clustering process. In th...
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ļ¬...
One of the novel beneļ¬ts of virtualization is the ability to emulate many hosts with a single physical machine. This approach is often used to support at-scale testing for large...