yari, m

[ 1 ] - Developing a Filter-Wrapper Feature Selection Method and its Application in Dimension Reduction of Gen Expression

Nowadays, increasing the volume of data and the number of attributes in the dataset has reduced the accuracy of the learning algorithm and the computational complexity. A dimensionality reduction method is a feature selection method, which is done through filtering and wrapping. The wrapper methods are more accurate than filter ones but perform faster and have a less computational burden. With ...