Multiclass Contour-Preserving Classification with Support Vector Machine (SVM)

Multiclass Contour-Preserving Classification with Support Vector Machine (SVM)

Multiclass contour-preserving classification (MCOV) has been used to preserve the contour of the data set and improve the classification accuracy of a feed-forward neural network. It synthesizes two types of new instances, called fundamental multiclass outpost vector (FMCOV) and additional multiclas...

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Bibliographic Details
Main Author: Fuangkhon Piyabute
Format: Article
Language:English
Published: De Gruyter 2017-04-01
Series:Journal of Intelligent Systems
Subjects:
contour preservation
data mining
data pre-processing
neural network
support vector machine
68t01
Online Access:https://doi.org/10.1515/jisys-2015-0087

Internet

https://doi.org/10.1515/jisys-2015-0087

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