Emerging infrastructure of computational grids composed of Clusters-of-Clusters (CoC) interlinked through high throughput channels promises unprecedented raw compute power for ter...
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Centralized register file architectures scale poorly in terms of clock rate, chip area, and power consumption and are thus not suitable for consumer electronic devices. The conse...
Effectively summarizing Web page collections becomes more and more critical as the amount of information continues to grow on the World Wide Web. A concise and meaningful summary ...
Yongzheng Zhang, A. Nur Zincir-Heywood, Evangelos ...
Several clustering algorithms equipped with pairwise hard constraints between data points are known to improve the accuracy of clustering solutions. We develop a new clustering alg...
Martin H. C. Law, Alexander P. Topchy, Anil K. Jai...