Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Over the last decade, a dramatic increase has been observed in the need for generating and organising data in the course of large parameter studies, performance analysis, and soft...
Radu Prodan, Thomas Fahringer, Michael Geissler, G...
Abstract. An MPI library, called MPICH-PM/CLUMP, has been implemented on a cluster of SMPs. MPICH-PM/CLUMP realizes zero copy message passing between nodes while using one copy mes...
Toshiyuki Takahashi, Francis O'Carroll, Hiroshi Te...
This paper introduces Strings, a high performance distributed shared memory system designed for clusters of symmetrical multiprocessors (SMPs). The distinguishing feature of this ...
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...