OLAP queries are typically heavy-weight and ad-hoc thus requiring high storage capacity and processing power. In this paper, we address this problem using a database cluster which...
Alexandre A. B. Lima, Marta Mattoso, Patrick Valdu...
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
Maurizio Filippone, Francesco Camastra, Francesco ...
Clustering has become an increasingly important task in modern application domains. Mostly, the data are originally collected at different sites. In order to extract information f...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
We propose a spectral partitioning approach for large-scale optimization problems, specifically structure from motion. In structure from motion, partitioning methods reduce the pr...
In this research we introduce the problem of the binary matrix partitioning in a biological context. Our idea is to use SNP matrix to construct a set of phylogenetic networks to r...