Applications augmented with adaptive capabilities are becoming common in parallel computing environments which share resources such as main memory, network, or disk I/O. For large...
Nurzhan Ustemirov, Masha Sosonkina, Mark S. Gordon...
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
– Clustering is a standard approach for achieving efficient and scalable performance in wireless sensor networks. Most of the published clustering algorithms strive to generate t...
Adel M. Youssef, Mohamed F. Younis, Moustafa Youss...
Finding a set of web pages relevant to a user’s information goal is difficult due to the enormous size of the Internet. Search engines are able to find a set of pages that mat...
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...