Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
— In this paper, we will study the problem of projected clustering of uncertain data streams. The use of uncertainty is especially important in the high dimensional scenario, bec...
To fully leverage the information from different data sources and applications, an enterprise needs a generic, interoperable and flexible infrastructure to integrate and coordinate...
Jingtao Zhou, Shusheng Zhang, Han Zhao, Mingwei Wa...
In the emerging world of Grid Computing, shared computational, data, other distributed resources are becoming available to enable scientific advancement through collaborative rese...
Line Pouchard, Luca Cinquini, Bob Drach, Don Middl...
Abstract— In this paper we suggest a new approach to represent text document collections, integrating background knowledge to improve clustering effectiveness. Background knowled...