Setting up an IDS architecture on ad-hoc network is hard because it is not easy to find suitable locations to setup IDS's. One way is to divide the network into a set of clust...
In this work, a new algorithm is proposed for fast estimation of nonparametric multivariate kernel density, based on principal direction divisive partitioning (PDDP) of the data s...
: We consider a class of point processes, which we call sub-Poisson; these are point processes that can be directionallyconvexly (dcx) dominated by some Poisson point process. The ...
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
We present a nonparametric method for galaxy clustering in astronomical sky surveys. We show that the cosmological definition of clusters of galaxies is equivalent to density cont...