TensorFlow-based implementation of k-means, k-means++ and tunnel k-means. GPU-enabled.
TensorFlow-based implementations of the following algorithms:
- k-means with random initialization (Lloyd, 1982)
- k-means++ (Arthur and Vassilvitskii, 2006)
- tunnel k-means (Fritzke, to appear)
Example of tunnel k-means at work:
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size kmeanstf-0.8.1-py3-none-any.whl (22.6 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size kmeanstf-0.8.1.tar.gz (22.3 kB)||File type Source||Python version None||Upload date||Hashes View|