Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Numerous mesh algorithms such as parametrization, radiosity, and collision detection require the decomposition of meshes into a series of clusters. In this paper we present two no...
—In the past, we proposed a genetic-fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions under a single minim...
Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, C...
—Distributed file systems that use multiple servers to store data in parallel are becoming commonplace. Much work has already gone into such systems to maximize data throughput....
Nawab Ali, Ananth Devulapalli, Dennis Dalessandro,...
Background: MicroRNAs are small non-coding RNA gene products that play diversified roles from species to species. The explosive growth of microRNA researches in recent years prove...
Wing-Sze Leung, Marie C. M. Lin, David Wai-Lok Che...