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Proceedings Paper

Parallel Algorithms For Classification And Clustering
Author(s): George Cybenko; Thomas G. Allen
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Paper Abstract

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.

Paper Details

Date Published: 21 January 1988
PDF: 7 pages
Proc. SPIE 0826, Advanced Algorithms and Architectures for Signal Processing II, (21 January 1988); doi: 10.1117/12.942023
Show Author Affiliations
George Cybenko, Tufts University (United States)
Thomas G. Allen, Alphatech, Inc. (United States)


Published in SPIE Proceedings Vol. 0826:
Advanced Algorithms and Architectures for Signal Processing II
Franklin T. Luk, Editor(s)

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