KMeans++ clustering algorithm
Project description
📊 KMeans++
fastkmeanspp is a Python package that implements a KMeans clone from scikit-learn but with a much faster centroid initialization and optimized for speed with FAISS. It is designed to be a drop-in replacement for scikit-learn's KMeans implementation.
🚀 Installation
pip install fastkmeanspp
📖 Learn More
For tutorials, API reference, visit the official site:
👉 fastkmeanspp Documentation
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file fastkmeanspp-0.2.0.tar.gz.
File metadata
- Download URL: fastkmeanspp-0.2.0.tar.gz
- Upload date:
- Size: 7.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ce6392df6630db604a2f3ecb76a84fcf783d0e1aebd64aa188e6308d38d43764
|
|
| MD5 |
ec40ec0eb23a71db24fb0efe185a457d
|
|
| BLAKE2b-256 |
b03c89f7b0fa50691fa3d42fc1ee02b0999fd2d9647bcb61c9bf4b192bb37fcd
|
File details
Details for the file fastkmeanspp-0.2.0-py3-none-any.whl.
File metadata
- Download URL: fastkmeanspp-0.2.0-py3-none-any.whl
- Upload date:
- Size: 5.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7b9f08b0759478a248391789447d993321a96ed815db936d4bc29783b56369c1
|
|
| MD5 |
b81f186fba357d23e2031764328c3f9b
|
|
| BLAKE2b-256 |
e7f17728e8c70c0f7b40fe15d695f41c612db896a88771fd8251133b8385ba2c
|
