UNJUK KERJA METODE KLASIFIKASI SUPPORT VECTOR MACHINE (SVM) DENGAN LEARNING VECTOR QUANTIZATION (LVQ) PADA APLIKASI PENGENALAN WAJAH

Authors

  • Yustina Retno Wahyu Utami, Teguh Susyanto

DOI:

https://doi.org/10.30646/sinus.v13i1.210

Abstract

Face recognition techniques and classification methods have been proposed, but not many techniques that compare performance between methods. This research wants to analyze the performance of recognition. The method which are studied and compared are support vector machine and learning vector quantization. The result showed that the performance of the method, on the varied training number, LVQ method is better than SVM. In large number of classes, LVQ method is better than SVW.

Keywords: classification, face recognition, LVQ, SVM

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Published

2015-03-10

How to Cite

Teguh Susyanto, Y. R. W. U. (2015). UNJUK KERJA METODE KLASIFIKASI SUPPORT VECTOR MACHINE (SVM) DENGAN LEARNING VECTOR QUANTIZATION (LVQ) PADA APLIKASI PENGENALAN WAJAH. Jurnal Ilmiah SINUS, 13(1). https://doi.org/10.30646/sinus.v13i1.210

Issue

Vol. 13 No. 1 (2015): Maret 2015

Section

Articles

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