Random Neighbors
Random-forest-style feature bagging for high-dimensional clustering experiments.
What it is
Random Neighbors is a small research repo for clustering when the useful feature subset is not obvious.
The core estimator repeatedly samples rows and features, fits a clustering kernel, and keeps the feature subsets that produce stable separation. The repo also includes an unsupervised random-forest proximity baseline for comparison.