6533b838fe1ef96bd12a4862
RESEARCH PRODUCT
On the use of neighbourhood-based non-parametric classifiers
Filiberto PlaFrancesc J. FerriJosé Salvador Sánchezsubject
Theoretical computer sciencebusiness.industryGabriel graphNonparametric statisticsCentroidPattern recognitionClassification schemeNeighbourhood graphComputingMethodologies_PATTERNRECOGNITIONNeighbourhood components analysisArtificial IntelligenceSignal ProcessingNeighbourhood systemComputingMethodologies_GENERALComputer Vision and Pattern RecognitionArtificial intelligencebusinessNeighbourhood (mathematics)SoftwareMathematicsdescription
Alternative non-parametric classification schemes, which come from the use of different definitions of neighbourhood, are introduced. In particular, the Nearest Centroid Neighbourhood along with the neighbourhood relation derived from the Gabriel Graph and the Relative Neighbourhood Graph are used to define the corresponding (k-)Nearest Neighbour-like classifiers. Experimental results are reported to compare the performance of the approaches proposed here to the one obtained with the k-Nearest Neighbours rule.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1997-11-01 |