Abstract. A top-k OLAP query groups measures with respect to some abstraction level of interesting dimensions and selects the k groups with the highest aggregate value. An example ...
The capacity of today's network links, along with the heterogeneity of their traffic, is rapidly growing, more than the workstation’s processing power. This makes the task ...
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
: A novel broadcast technique for wormhole-routed mesh and torus parallel computers based on recursion is presented in this paper. It works by partitioning the graph into several s...
The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....