Supervised learning is a classic data mining problem where one wishes to be be able to
predict an output value associated with a particular input vector. We present a new twist on …

In this paper, we address the problem of topology discovery in unicast logical tree networks
using end-to-end measurements. Without any cooperation from the internal routers, topology …

In the paper, new modified agglomerative algorithms for hierarchical clustering are
suggested. The clustering process is targeted to generating a cluster hierarchy which can …

Assessing and monitoring the performance of computer and communications networks is an
important problem for network engineers. A considerable amount of work has been done on …

Clustering is an important technique for analyzing gene expression data. The self-
organizing map is one of the most useful clustering algorithms. However, its applicability is …