Dimensionality reduction using singular vectors

Abstract A common problem in machine learning and pattern recognition is the process of identifying the most relevant features, specifically in dealing with high-dimensional datasets in bioinformatics. In this paper, we propose a new feature selection method, called Singular-Vectors Feature Selectio...

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Autores principales: Majid Afshar, Hamid Usefi
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/4e673d78ae7e4591840721580ab9e0f4
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