Gen Örneklerinin Eşli Destek Vektör Makinesi ile Sınıflandırılması

Taş, Engin

doi:http://dx.doi.org/10.17093/alphanumeric.345115

Classification of Gene Samples Using Pair-Wise Support Vector Machines

bib

Engin Taş, Ph.D.

Abstract

The main problem in the classification problems encountered with gene samples is that the dimension of the data is high although the sample size is small. In such problems, the classifier to be used must be a classifier that allows the processing of high dimensional data and extracts maximum information from a small number of samples at hand. In this context, a classification methodology has been developed, which first transforms the problem of binary or multiple classification into separate pair-wise classification problems. To this end, an online classifier has been adapted to solve pair-wise binary classification problems. The resulting classifier performed better on most of the real problems compared to other popular classifiers.

Keywords: Kernel Methods, Pair-wise Classification, Support Vector Machine, Tumor Classification

Jel Classification: C45, C61, C63

Gen Örneklerinin Eşli Destek Vektör Makinesi ile Sınıflandırılması

Öz

Gen örnekleriyle ilgili karşılaşılan sınıflandırma problemlerinde en büyük sorun az sayıda örnek elde edilmesine karşın verinin büyük boyutlu olmasıdır. Bu tür problemlerde kullanılacak sınıflandırıcının büyük boyutlu verinin işlenmesine olanak sağlayan ve eldeki az sayıda örnekten maksimum bilgiyi çıkaran bir sınıflandırıcı olması gerekir. Bu kapsamda, öncelikle ikili/çoklu sınıflandırma problemlerini ayrı ayrı eşli ikili sınıflandırma problemlerine çeviren bir sınıflandırma metodolojisi geliştirilmiştir. Bunun için, çevrimiçi bir sınıflandırıcı eşli ikili sınıflandırma problemlerini çözecek şekilde tekrar düzenlenmiştir. Oluşan sınıflandırıcı gerçek problemlerin çoğu üzerinde diğer popüler sınıflandırıcılara göre oldukça iyi bir performans göstermiştir.

Anahtar Kelimeler: Destek Vektör Makinesi, Eşli Sınıflandırma, Tümör Sınıflandırması, Çekirdek Yöntemler

Suggested citation

Taş, E. (2017). Gen Örneklerinin Eşli Destek Vektör Makinesi ile Sınıflandırılması. Alphanumeric Journal, 5(2), 283-292. http://dx.doi.org/10.17093/alphanumeric.345115

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2017.05.02.STAT.03

alphanumeric journal

Volume 5, Issue 2, 2017

Pages 283-292

Received: Oct. 19, 2017

Accepted: Nov. 13, 2017

Published: Nov. 29, 2017

Full Text [655.3 KB]

2017 Taş, E.

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence, which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

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alphanumeric journal

The Journal of Operations Research, Statistics, Econometrics and Management Information Systems

Classification of Gene Samples Using Pair-Wise Support Vector Machines

Gen Örneklerinin Eşli Destek Vektör Makinesi ile Sınıflandırılması

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