6533b837fe1ef96bd12a309c
RESEARCH PRODUCT
Using proximity and spatial homogeneity in neighbourhood-based classifiers
F.j. FerriFiliberto PlaJosé Salvador Sánchezsubject
Computer sciencebusiness.industryComputingMethodologies_GENERALData miningArtificial intelligenceSpatial homogeneitycomputer.software_genreMachine learningbusinesscomputerNeighbourhood (mathematics)description
In this paper, a set of neighbourhood-based classifiers are jointly used in order to select a more reliable neighbourhood of a given sample and take an appropriate decision about its class membership. The approaches introduced here make use of two concepts: proximity and symmetric placement of the samples.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1997-01-01 |