Construct or predict with k-nearest-neighbor classifiers, using cross-validation to select k, choose variables (by forward or backwards selection), and choose scaling (from among no scaling, scaling each column by its SD, or scaling each column by its MAD). The finished classifier will consist of a classification tree with one such k-nn classifier in each leaf.
| Version: | 1.2.4 |
| Date: | 2008-05-06 |
| Author: | Sam Buttrey |
| Maintainer: | Sam Buttrey <buttrey at nps.edu> |
| License: | GPL version 2 |
| CRAN checks: | knnTree results |
Downloads:
| Package source: | knnTree_1.2.4.tar.gz |
| MacOS X binary: | knnTree_1.2.4.tgz |
| Windows binary: | knnTree_1.2.4.zip |
| Reference manual: | knnTree.pdf |
| Old sources: | knnTree archive |