Scientific investigations have to deal with rapidly growing amounts of data from simulations and experiments. During data analysis, scientists typically want to extract subsets o...
Alexandru Romosan, Doron Rotem, Arie Shoshani, Der...
In this paper we propose a new partial closure-based constrained clustering algorithm. We introduce closures into the partial constrained clustering and we propose a new measureme...
In this paper we present BioOpera, an extensible process support system for cluster-aware computing. It features an intuitive way to specify computations, as well as improved supp...
In this paper we discuss the design and implementation of Fellowship, a 300+ CPU, general use computing cluster based on FreeBSD. We address the design features including configu...
Brooks Davis, Michael AuYeung, Gary Green, Craig A...
This paper presents a framework for clustering in text-based information retrieval systems. The prominent feature of the proposed method is that documents, terms, and other relate...