MDFS - MultiDimensional Feature Selection
Functions for MultiDimensional Feature Selection (MDFS): calculating multidimensional information gains, scoring variables, finding important variables, plotting selection results. This package includes an optional CUDA implementation that speeds up information gain calculation using NVIDIA GPGPUs. R. Piliszek et al. (2019) <doi:10.32614/RJ-2019-019>.
Last updated 3 months ago
cppopenmp
2.56 score 1 dependents 24 scripts 478 downloadsRAFS - Robust Aggregative Feature Selection
A cross-validated minimal-optimal feature selection algorithm. It utilises popularity counting, hierarchical clustering with feature dissimilarity measures, and prefiltering with all-relevant feature selection method to obtain the minimal-optimal set of features.
Last updated 2 months ago
1.30 score 541 downloads