Abstract. We present a clustering method for continuous data. It defines local clusters into the (primary) data space but derives its similarity measure from the posterior distribu...
Abstract. This work focuses on the active selection of pairwise constraints for spectral clustering. We develop and analyze a technique for Active Constrained Clustering by Examini...
Many clustering algorithms only find one clustering solution. However, data can often be grouped and interpreted in many different ways. This is particularly true in the high-dim...
Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
1 Since I/O-intensive tasks running on a heterogeneous cluster need a highly effective usage of global I/O resources, previous CPUor memory-centric load balancing schemes suffer ...
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson