Feature selection is an independent technology for high-dimensional datasets that has been
widely applied in a variety of fields. With the vast expansion of information, such as …

Abstract Machine learning algorithms involving feature engineering as their key steps play
important roles in AI tasks. Both feature selection and extraction have their pros and cons …

Various data analysis research has recently become necessary in to find and select relevant
features without class labels using Unsupervised Feature Selection (UFS) approaches …

The goal of unsupervised feature selection is to identify a feature subset based on the
intrinsic characteristics of a given dataset without user-guided information such as class …

In recent years, unsupervised feature selection approaches have attracted significant
attention in various research fields, primarily due to their ability to find and select important …

The electrocardiogram, or ECG, is a key diagnostic tool in clinical practice, due to its simple
and non-invasive way of recording the electrical activity of the heart. In clinical examinations …