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- W2071510085 abstract "This work describes a parallel, fuzzy version of the iterative guided spectral class rejection (IGSCR) classification algorithm. Fuzzy IGSCR is a semi-supervised classification algorithm for remote sensing that uses fuzzy clustering to associate a large amount of unlabeled data with a small set of labeled data. The parallel version of fuzzy IGSCR (PFI) is a shared memory parallel algorithm that was implemented on an SGI Altix and speedup results were obtained using as many as 12 processors. Parallel speedup for PFI is almost ideal, indicating PFI will be scalable to much larger parallel computers." @default.
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- W2071510085 date "2009-03-22" @default.
- W2071510085 modified "2023-09-26" @default.
- W2071510085 title "Examining the potential parallel scalability of a fuzzy semi-supervised classification algorithm" @default.
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- W2071510085 doi "https://doi.org/10.5555/1639809.1639921" @default.
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