One of the most important and challenging questions in the area of clustering is how to choose the best-fitting algorithm and parameterization to obtain an optiml clustering for t...
Martin Hahmann, Peter Benjamin Volk, Frank Rosenth...
A deterministic partitioning technique for fault diagnosis in Scan-Based BIST is proposed. Properties of high quality partitions for improved fault diagnosis times are identified...
We present a framework for approximating random-walk based probability distributions over Web pages using graph aggregation. We (1) partition the Web's graph into classes of ...
Andrei Z. Broder, Ronny Lempel, Farzin Maghoul, Ja...
Since a large number of clustering algorithms exist, aggregating different clustered partitions into a single consolidated one to obtain better results has become an important pro...
In the past, a priori interconnect prediction, based on Rent’s rule, has been applied mainly for technology evaluation and roadmap applications. These applications do not requir...