LCCkNN
Adaptive k-Nearest Neighbor Classifier Based on Local Curvature Estimation
Implements the kK-NN algorithm, an adaptive k-nearest neighbor classifier that adjusts the neighborhood size based on local data curvature. The method estimates local Gaussian curvature by approximating the shape operator of the data manifold. This approach aims to improve classification performance, particularly in datasets with limited samples.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | LCCkNN_0.1.0.tar.gz |
30.2 KiB |
0.1.0 |
rolling linux/noble R-4.5 | LCCkNN_0.1.0.tar.gz |
30.1 KiB |
0.1.0 |
rolling source/ R- | LCCkNN_0.1.0.tar.gz |
6.8 KiB |
0.1.0 |
latest linux/jammy R-4.5 | LCCkNN_0.1.0.tar.gz |
30.2 KiB |
0.1.0 |
latest linux/noble R-4.5 | LCCkNN_0.1.0.tar.gz |
30.1 KiB |
0.1.0 |
latest source/ R- | LCCkNN_0.1.0.tar.gz |
6.8 KiB |
0.1.0 |
2026-04-26 source/ R- | LCCkNN_0.1.0.tar.gz |
6.8 KiB |
0.1.0 |
2026-04-23 source/ R- | LCCkNN_0.1.0.tar.gz |
6.8 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | LCCkNN_0.1.0.zip |
32.9 KiB |