Several open resource toolboxes provide feature selection algorithms to decrease redundant features, data dimensionality, and computing costs. These approaches demand programming expertise, limiting their popularity, and they haven't adequately addressed unlabeled real-world data. Automatic MATLAB Toolbox for Unsupervised Feature Selection (Auto-UFSTool) is a library for 23 robust Unsupervised Feature Selection techniques. We aim to develop a user-friendly and fully-automatic toolbox utilizing various unsupervised feature selection methodologies from the latest research. It is freely available in the MATLAB File Exchange repository and each technique's script and source code are included. Therefore, without requiring a single line of code, a clear and systematic comparison of alternative approaches is possible.
For further questions, please see the appendix or feel free to contact developers.
www.mathworks.com/matlabcentral/fileexchange/116370-unsupervised-feature-selection-toolbox