—We apply a simple clustering algorithm to a large dataset of cellular telecommunication records, reducing the complexity of mobile phone users’ full trajectories and allowing ...
—Several recent research activities have started to recognize the relevant role of k-hop clustering in Mobile Ad hoc NETworks (MANET) to effectively support many relevant tasks, ...
In traditional data clustering, similarity of a cluster of objects is measured by pairwise similarity of objects in that cluster. We argue that such measures are not appropriate f...
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
In modern clustering environments where the memory hierarchy has many layers (distributed memory, shared memory layer, cache, ¡ ¢ ), an important question is how to fully u...