Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems

Korhan GÜNEL; Rıfat AŞLIYAN; İclal GÖR

Makale detayları

Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems

Yazarlar:

Korhan GÜNEL | Rıfat AŞLIYAN | İclal GÖR

Yayıncı:

Süleyman Demirel University

Dergi:

Süleyman Demirel University Journal of Natural and Applied Sciences 2016 Vol.20 Issue 3, pp.414-420

Belge Tipi:

Makale

Yayın Tarihi:

9/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000554985

Sıklık:

Üç Yıllık

eISSN:

1308-6529

Özet:

 

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.

Makale detayları

Geometrical Modification of Learning Vector Quantization Method for Solving Classification Problems

Yazarlar: Korhan GÜNEL | Rıfat AŞLIYAN | İclal GÖR

Yayıncı: Süleyman Demirel University

Dergi: Süleyman Demirel University Journal of Natural and Applied Sciences 2016 Vol.20 Issue 3, pp.414-420

Belge Tipi: Makale

Yayın Tarihi: 9/2016

Belge Dili: Türkçe

Document ID (Org No.): 2000554985

Sıklık: Üç Yıllık

eISSN: 1308-6529

Sayı

Yazarlar:

Korhan GÜNEL | Rıfat AŞLIYAN | İclal GÖR

Yayıncı:

Süleyman Demirel University

Dergi:

Süleyman Demirel University Journal of Natural and Applied Sciences 2016 Vol.20 Issue 3, pp.414-420

Belge Tipi:

Makale

Yayın Tarihi:

9/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000554985

Sıklık:

Üç Yıllık

eISSN:

1308-6529