Robust Convex Hull Classifier Algorithm (RoCoCA)
Aim: We aim to create a MATLAB implementation of the convex hull based feature selection algorithm, which is simple to use and easy to visualize data with. Users of the package will be able to train, test, and visualize data with
Social/scientific motivation: Due to
Scientific background: The method is based on T. E. M. Nordling, N. Padhan, S. Nelander, and L. Claesson-Welsh (2015), “Identification of Biomarkers and Signatures in Protein Data” published in the Proc. of the IEEE 11th International Conference on eScience.
Eric’s motivation: It is a method with a simple concept, but it provides robust feature selection. It is a good way for me to learn about machine learning and statistics.