Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Different schemes for large scale networks hosting distributed applications have been recently adopted for network path marking based on adaptive behavior of swarm-based agents. T...
Managing large scale UNIX networks so that users can use resources on multiple systems is traditionally performed using NIS, NFS, and DNS. Proper use of these tools requires exact...
Background: Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much ...
Benjamin Chain, Helen Bowen, John Hammond, Wilfrie...
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...