—Analysis and modeling of wireless networks greatly depend on understanding the structure of underlying mobile nodes. In this paper we present two clustering algorithms to determ...
Yung-Chih Chen, Elisha J. Rosensweig, Jim Kurose, ...
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
Abstract--Study on human mobility is gaining increasing attention from the research community with its multiple applications to use in mobile networks, particularly for the purpose...
—This paper presents an approach to automatically distinguish the copied clone from the original in a pair of clones. It matches the line-by-line version information of a clone t...
An algorithm, described by Sedgewick, finds the distance between the closest pair of n given points in a plane using a variant of mergesort. This takes O(n log n) time. To prove t...