On automatic feature selection

Feature selection is an important preprocessing step for many pattern classification tasks. Traditionally, feature selection methods are designed to obtain a feature subset that can lead to high classification accuracy. However, classification accuracy ...

A novel Variable Global Feature Selection Scheme (VGFSS) is proposed.VGFSS selects variable number of features from each class instead of equal features.The selection of features in VGFSS is based on distribution of terms in the classes.The methods are ...

Feature selection is one of the most significant procedures in machine learning algorithms. It is particularly to improve the performance and prediction accuracy for complex data classification. This paper discusses a hybrid feature selection technique ...