📅 10 March 2015
DOI: 10.30646/sinus.v13i1.210
UNJUK KERJA METODE KLASIFIKASI SUPPORT VECTOR MACHINE (SVM) DENGAN LEARNING VECTOR QUANTIZATION (LVQ) PADA APLIKASI PENGENALAN WAJAH
Jurnal Ilmiah Sinus
Universitas Tiga Serangkai
📄 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
ℹ️ Informasi Publikasi
Tanggal Publikasi
10 March 2015
Volume / Nomor / Tahun
Volume 13, Nomor 1, Tahun 2015
📝 HOW TO CITE
Teguh Susyanto, Yustina Retno Wahyu Utami,; , "UNJUK KERJA METODE KLASIFIKASI SUPPORT VECTOR MACHINE (SVM) DENGAN LEARNING VECTOR QUANTIZATION (LVQ) PADA APLIKASI PENGENALAN WAJAH," Jurnal Ilmiah Sinus, vol. 13, no. 1, Mar. 2015.
ACM
ACS
APA
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver
Download Citation
0
Sitasi
Cek Google Scholar