TensorFlow-based implementation of k-means, k-means++ and tunnel k-means. GPU-enabled.
Project description
kmeanstf
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)
Documentation: https://kmeanstf.readthedocs.io/en/latest/
Example of tunnel k-means at work:
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
kmeanstf-0.8.1.tar.gz
(22.3 kB
view details)
Built Distribution
kmeanstf-0.8.1-py3-none-any.whl
(22.6 kB
view details)
File details
Details for the file kmeanstf-0.8.1.tar.gz
.
File metadata
- Download URL: kmeanstf-0.8.1.tar.gz
- Upload date:
- Size: 22.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9e794c255dea407822a142f274e0d18b6250d0a15a3db89b716a37ef3cf01e05 |
|
MD5 | 1a1e8de7ab6cbeb6e05a5b4e0b3a56ec |
|
BLAKE2b-256 | a2cb7d08acbc5cbf6184f12d4c41dd5149edc8a49aeea3a4f2ae5f7c45b09435 |
File details
Details for the file kmeanstf-0.8.1-py3-none-any.whl
.
File metadata
- Download URL: kmeanstf-0.8.1-py3-none-any.whl
- Upload date:
- Size: 22.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1e6534e6d68273f153a880172ace343db7377578101566dfbfb0f1ed9c52d2af |
|
MD5 | 493286993a1e70334a5f46848b6602e3 |
|
BLAKE2b-256 | 0b6aafebbac148011755107d2e672fb496d226787c132539c21599fb3f71cd83 |