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joshlk
k-means-constrained

K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained

147K 233 44
urschrei
ckmeans

A Python package for fast 1D clustering using a Rust binary. Prefer ckmeans to Jenks.

3K 3 0
TankredO
pyckmeans

Consensus and WECR K-Means clustering.

2K 16 3
sp-nitech
diffsptk

A differentiable version of SPTK

2K 197 20
clara-labs
spherecluster

Clustering routines for the unit sphere

1K 358 79
cwida
superkmeans

⚡ Super fast clustering for high-dimensional vectors on CPUs (x86, ARM) and GPUs — for Python and C++. 100x faster clustering of vector embeddings than FAISS

1K 61 4
vivek3141
ml-python

Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.

841 17 3
alfurka
synloc

A Python package to create synthetic data from locally estimated distributions

689 3 0
Dova-Digit
dovalens

CLI for dataset profiling, statistics, clustering/anomaly detection, and drift (KS); generates a single HTML report from a CSV.

284 0 0
semoglou
composite-silhouette

A clustering evaluation framework that combines micro- and macro-averaged silhouette scores into a composite metric using statistical weighting.

156 1 1
kuslavicek
ballot

High-performance Python package for balanced k-means clustering using optimal transport and entropic regularization

89 1 1
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