Makara Journal of Technology
Vol. 15, No. 1

Two-Class Classification with Various Characteristics Based on Kernel Principal Component Analysis and Support Vector Machines

Timotius, Ivanna Kristianti (Unknown)
Setyawan, Iwan (Unknown)
Febrianto, Andreas Ardian (Unknown)

Article Info

Publish Date
01 Apr 2011

Abstract

Two class pattern classification problems appeared in many applications. In some applications, the characteristic of the members in a class is dissimilar. This paper proposed a classification system for this problem. The proposed system was developed based on the combination of kernel principal component analysis (KPCA) and support vector machines (SVMs). This system has been implemented in a two class face recognition problem. The average of the classification rate in this face image classification is 82.5%.

Copyrights © 2011




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Journal Info
Makara Journal of Technology
Website

Abbrev

publication:mjt

Publisher

Universitas Indonesia

Subject

Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

Description

MAKARA Journal of Technology is a peer-reviewed multidisciplinary journal committed to the advancement of scholarly knowledge and research findings of the several branches of Engineering and Technology. The Journal publishes new results, original articles, reviews, and research notes whose content ...