Parallel Algorithms For Classification And Clustering
George V. Cybenko, Thomas Allen · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1988
Parallel algorithms for high level signal processing functions common to tracking and data fusion are presented and stbdied. The algorithms are general techniques for clustering, partitioning and ennumeration and are applicable in a variety of situations. Parallel algorithms were implemented on a hypercube parallel computer and performance data is presented.