Distributed shared memory systems have become popular as a means of utilizing clusters of computers for solving large applications. We have developed a high-performance DSM at Way...
Distributed shared memory (DSM) systems have become popular as a means of utilizing clusters of computers for solving large applications. We have developed a high-performance DSM,...
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...