Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Systems software for clusters typically derives from a multiplicity of sources: the kernel itself, software associated with a particular distribution, site-specific purchased or o...
Ewing L. Lusk, Narayan Desai, Rick Bradshaw, Andre...
The spatial clustering of genes across different genomes has been used to study important problems in comparative genomics, from identification of operons to detection of homologo...
The cluster structure of many real-world graphs is of great interest, as the clusters may correspond e.g. to communities in social networks or to cohesive modules in software syst...
We present iClusterDL, a self-organising overlay network that supports information retrieval and filtering functionality in a digital library environment. iClusterDL is able to han...
Paraskevi Raftopoulou, Euripides G. M. Petrakis, C...