Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
Noninterference requires that there is no information flow from sensitive to public data in a given system. However, many systems release sensitive information as part of their in...
Andrew C. Myers, Andrei Sabelfeld, Steve Zdancewic
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
Node clustering and data aggregation are popular techniques to reduce energy consumption in large WSNs and a large body of literature has emerged describing various clustering prot...