Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
: Analysts interact with OLAP data in a predominantly “drill-down” fashion, i.e. gradually descending from a coarsely grained overview towards the desired level of detail. Anal...
Svetlana Mansmann, Florian Mansmann, Marc H. Schol...
The intersection of theatre-performance, design, and informatics is a fertile area for a broader understanding of the possible design and interaction between people and avatars in...
—Accumulating evidence suggests that biological systems exhibit modular organization. Accurate identification of modularity is vital for understanding this organization. A recen...
Roger L. Chang, Feng Luo, Stuart Johnson, Richard ...
Clustering is an important data mining problem. However, most earlier work on clustering focused on numeric attributes which have a natural ordering to their attribute values. Rec...