1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Graph-Based Automatic Feature Selection for Multi-Class Classification via Mean Simplified Silhouette
David Levin, Gonen Singer
This paper introduces a novel graph-based filter method for automatic feature selection (abbreviated as GB-AFS) for multi-class classification tasks. The method determines the mini…
cs.LG2023★ 1 cited
Graph-based Extreme Feature Selection for Multi-class Classification Tasks
Shir Friedman, Gonen Singer, Neta Rabin
When processing high-dimensional datasets, a common pre-processing step is feature selection. Filter-based feature selection algorithms are not tailored to a specific classificatio…