Recent work [2] [5] [11] [12] [14] has illustrated the promise of multilevel approaches for partitioning large circuits. Multilevel partitioning recursively clusters the instance ...
Charles J. Alpert, Jen-Hsin Huang, Andrew B. Kahng
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Clustering is an important problem and has numerous applications. In this paper we consider an important clustering problem, called the k-center problem. We are given a discrete p...
Given the increasing traffic on the World Wide Web (Web), it is difficult for a single popular Web server to handle the demand from its many clients. By clustering a group of Web ...
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...