The Distance-Weighted k-Nearest-Neighbor Rule
- 1 April 1976
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics
- Vol. SMC-6 (4) , 325-327
- https://doi.org/10.1109/tsmc.1976.5408784
Abstract
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 heavily than the evidence of another neighbor which is at a greater distance from the unclassified observation. One such classification rule is described which makes use of a neighbor weighting function for the purpose of assigning a class to an unclassified sample. The admissibility of such a rule is also considered.Keywords
This publication has 2 references indexed in Scilit:
- k-Nearest-Neighbor Decision Rule Performance in a Speech Recognition SystemIEEE Transactions on Systems, Man, and Cybernetics, 1975
- Nearest neighbor pattern classificationIEEE Transactions on Information Theory, 1967