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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Method of Key Vectors Extraction Using R-Cloud Classifiers
verfasst von : A.A. Bougaev, A.M. Urmanov, A.M. Gross, L.H. Tsoukalas
Erschienen in: Advances in Systems, Computing Sciences and Software Engineering
Verlag: Springer Netherlands
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A noved method for reducing a training data set in the context of nonparametric classification is proposed. The new method is based on the method of R-clouds. The advantage of the R-cloud classification method introduced recently are being investigated. A data set reduction approach using Rvachev function-based represetation of the separating boundary is proposed. The R-cloud method was found instructive and practical in a number of engineering problems related to pattern classification. The method of key vectors extraction uses the property of the normal R-cloud boundary to evaluate the distance from the sample to the separating boundary.