https://github.com/asbaker/racket-knn
K Nearest Neighbors, KNN, is a lazy, supervised machine learning algorithm. This is an implementation in scheme using racket.
https://github.com/asbaker/racket-knn
Last synced: 6 months ago
JSON representation
K Nearest Neighbors, KNN, is a lazy, supervised machine learning algorithm. This is an implementation in scheme using racket.
- Host: GitHub
- URL: https://github.com/asbaker/racket-knn
- Owner: asbaker
- Created: 2013-04-17T01:32:04.000Z (about 12 years ago)
- Default Branch: master
- Last Pushed: 2013-04-17T03:05:29.000Z (about 12 years ago)
- Last Synced: 2024-08-04T04:06:19.652Z (9 months ago)
- Language: Racket
- Size: 160 KB
- Stars: 16
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-racket - racket-knn - K Nearest Neighbors, KNN, is a lazy, supervised machine learning algorithm. This is an implementation in scheme using racket. (Machine Learning)
- awesome-racket-and-scheme - racket-knn
README
racket-knn
==========
K Nearest Neighbors, KNN, is a lazy, supervised machine learning algorithm. This is an implementation in scheme using racket.
To run the tests execute raco test *-test.rkt
To run the algorithm execut racket -t knn.rkt -m