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: 2 months ago
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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 (almost 12 years ago)
• Default Branch: master
• Last Pushed: 2013-04-17T03:05:29.000Z (almost 12 years ago)
• Last Synced: 2024-08-04T04:06:19.652Z (6 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