These are used for wrapper based feature selection that selects optimal textural feature subset for improved classification of cervix lesions.
This study is unique in that it proposes a hybrid GA-based feature selection methodology along with design and development of several highly accurate classification algorithms to identify the most important features in the large and feature rich UNOS transplant dataset for lung transplantation.
In this paper, a new rough set based feature selection method has been given.
In this study, a filter feature selection method, namely MAUC Decomposition based Feature Selection (MDFS), is proposed for multi-class classification systems that aim for maximum MAUC.
In "Mutual information based feature selection and sampling rate adjustment", a mutual information based feature selection and sampling rate adjustment scheme have been proposed.
Mean distribution based feature selection procedure was applied to learn about the most discriminating features in plants.
In this paper, a new SVM-RFE based feature selection method was proposed.
Support vector based feature selections are superior to LOGICFS, and LOGICFS is better than parametric and non-parametric based feature selections.
It should adopt the best optimized feature selection methodology to select the adequate features for each problem.
Table 2 shows the number of attributes selected after applying our feature selection methodology to the original dataset.
The best-optimized feature selection methodology in the developed workflow is able to remove 62 99% of all redundant data.
