Dual membership SVM method based on spectral clustering-中国期刊网

摘要 Anewfuzzysupportvectormachinealgorithmwithdualmembershipvaluesbasedonspectralclusteringmethodisproposedtoovercometheshortcomingofthenormalsupportvectormachinealgorithm,whichdividesthetrainingdatasetsintotwoabsolutelyexclusiveclassesinthebinaryclassification,ignoringthepossibilityof'overlapping'regionbetweenthetwotrainingclasses.Theproposedmethodhandlessample'overlap'efficientlywithspectralclustering,overcomingthedisadvantagesofover-fittingwell,andimprovingthedataminingefficiencygreatly.Simulationprovidesclearevidencestothenewmethod.

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Dual membership SVM method based on spectral clustering

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Dual membership SVM method based on spectral clustering

来源期刊

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