In this paper we present a new parallel clustering algorithm based on the extended star clustering method. This algorithm can be used for example to cluster massive data sets of do...
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Efficient data movement is an important part of any highperformance I/O system, but it is especially critical for the current and next-generation of massively parallel processing ...
Ron Oldfield, Patrick Widener, Arthur B. Maccabe, ...
Clustering and aggregation inherently increase wireless sensor network (WSN) lifetime by collecting information within a cluster at a cluster head, reducing the amount of data thr...