The Distance-Weighted k-Nearest-Neighbor Rule
Among the simplest and most intuitively appealing classes of nonprobabilistic classification procedures are those that weight the evidence of nearby sample observations most heavily. More specifically, one might wish to weight the evidence of a neighbor close to an unclassified observation more heav...
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Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics man, and cybernetics, 1976-04, Vol.SMC-6 (4), p.325-327 |
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