Sequential random k-nearest neighbor feature selection for high-dimensional data
The study proposes the ensemble-based feature selection algorithm. The proposed algorithm is especially useful for large p and small n problems. Experiments with 20 real data demonstrated the effectiveness of the proposed algorithm.
feature selection high dimensionality ensemble wrapper random forest k-nn