A Novel Ensemble Feature Selection Technique for Cancer Classification Using Logarithmic Rank Aggregation Method

A Novel Ensemble Feature Selection Technique for Cancer Classification Using Logarithmic Rank Aggregation Method

Recent studies have shown that ensemble feature selection (EFS) has achieved outstanding performance in microarray data classification. However, some issues remain partially resolved, such as suboptimal aggregation methods and non-optimised underlying FS techniques. This study proposed the logarithm...

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Bibliographic Details
Main Authors: Hüseyin Öztoprak, Hüseyin Güney
Format: Article
Language:English
Published: Düzce University 2024-04-01
Series:Düzce Üniversitesi Bilim ve Teknoloji Dergisi
Subjects:
mikrodizi veri kümesi
topluluk öğrenme
birleştirme yöntemleri
destek vektör makineleri
tekrarlayan öznitelik seçimi (svm-rfe)
microarray data
ensemble learning
aggregation methods
support vector machine recursive feature elimination (svm-rfe)
Online Access:https://dergipark.org.tr/tr/download/article-file/2857576
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