emeans
Fast e-means clustering, written in Rust. e-means is a k-means replacement from Meta FAIR that reaches a lower error in about a tenth of the passes.
pip install emeans
Same class as faiss NumpyEmeans, so most code only needs a new import:
import numpy as np
from emeans import Emeans
x = np.random.rand(200_000, 64).astype("float32")
em = Emeans(64, 500)
centroids, labels = em.train(x)
distances, nearest = em.assign(x)
Needs only numpy. 1.7x to 6x faster than faiss NumpyEmeans in our tests, same error. Numbers and source: https://github.com/savannahar68/emeans
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Release files for emeans 0.1.1
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Built distributions (wheels)
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| emeans-0.1.1-cp39-abi3-win_amd64.whl | CPython 3.9 | abi3 | Windows x86-64 | Details for emeans-0.1.1-cp39-abi3-win_amd64.whl |
| emeans-0.1.1-cp39-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl | CPython 3.9 | abi3 | Linux glibc 2.17+ x86-64 | Details for emeans-0.1.1-cp39-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl |
| emeans-0.1.1-cp39-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl | CPython 3.9 | abi3 | Linux glibc 2.17+ ARM64 | Details for emeans-0.1.1-cp39-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl |
| emeans-0.1.1-cp39-abi3-macosx_11_0_arm64.whl | CPython 3.9 | abi3 | macOS 11.0+ ARM64 | Details for emeans-0.1.1-cp39-abi3-macosx_11_0_arm64.whl |
| emeans-0.1.1-cp39-abi3-macosx_10_12_x86_64.whl | CPython 3.9 | abi3 | macOS 10.12+ x86-64 | Details for emeans-0.1.1-cp39-abi3-macosx_10_12_x86_64.whl |
Total release size: 1.8 MB
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