We focus on mixtures of factor analyzers from the perspective of a method for model-based density estimation from high-dimensional data, and hence for the clustering of such data. This approach enables a normal mixture model to be fitted to a sample of n data points of dimension p, where p is...

In distributed systems users often need to share sensitive data with other usersbased on the latter's ability to satisfy various policies. In many cases the data ownermay not even know the identities of the data recipients, but deems it crucial that theyare legitimate; i.e., satisfy the policy....