Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems

Korhan Günel; Rıfat Aşlıyan; İclal Gör

doi:10.19113/sdufbed.22419

Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems

Öz

In this paper, a geometrical scheme is presented to show how to overcome an encountered problem arising from the use of generalized delta learning rule within competitive learning model. It is introduced a theoretical methodology for describing the quantization of data via rotating prototype vectors on hyper-spheres.
The proposed learning algorithm is tested and verified on different multidimensional datasets including a binary class dataset and two multiclass datasets from the UCI repository, and a multiclass dataset constructed by us. The proposed method is compared with some baseline learning vector quantization variants in literature for all domains. Large number of experiments verify the performance of our proposed algorithm with acceptable accuracy and macro f1 scores.

Anahtar Kelimeler

Machine learning,Learning vector quantization; Geometrical learning approach

Kaynakça

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Ayrıntılar

Birincil Dil

Türkçe

Konular

-

Bölüm

-

Yazarlar

Korhan Günel

Rıfat Aşlıyan

İclal Gör Bu kişi benim

Yayımlanma Tarihi

8 Eylül 2016

Gönderilme Tarihi

15 Haziran 2016

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2016 Cilt: 20 Sayı: 3

DOI

https://doi.org/10.19113/sdufbed.22419

IZ

https://izlik.org/JA35BH35FZ

Kaynak Göster

RIS / Bibtex

APA

Günel, K., Aşlıyan, R., & Gör, İ. (2016). Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 20(3), 414-420. https://doi.org/10.19113/sdufbed.22419

AMA

1.Günel K, Aşlıyan R, Gör İ. Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2016;20(3):414-420. doi:10.19113/sdufbed.22419

Chicago

Günel, Korhan, Rıfat Aşlıyan, ve İclal Gör. 2016. “Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 20 (3): 414-20. https://doi.org/10.19113/sdufbed.22419.

EndNote

Günel K, Aşlıyan R, Gör İ (01 Aralık 2016) Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 20 3 414–420.

IEEE

[1]K. Günel, R. Aşlıyan, ve İ. Gör, “Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems”, Süleyman Demirel Üniv. Fen Bilim. Enst. Derg., c. 20, sy 3, ss. 414–420, Ara. 2016, doi: 10.19113/sdufbed.22419.

ISNAD

Günel, Korhan - Aşlıyan, Rıfat - Gör, İclal. “Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 20/3 (01 Aralık 2016): 414-420. https://doi.org/10.19113/sdufbed.22419.

JAMA

1.Günel K, Aşlıyan R, Gör İ. Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2016;20:414–420.

MLA

Günel, Korhan, vd. “Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 20, sy 3, Aralık 2016, ss. 414-20, doi:10.19113/sdufbed.22419.

Vancouver

1.Korhan Günel, Rıfat Aşlıyan, İclal Gör. Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 01 Aralık 2016;20(3):414-20. doi:10.19113/sdufbed.22419

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