| Name | autogmm JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | None |
| Summary | Automatic Gaussian Mixture Modeling in Python |
| upload_time | 2025-09-14 01:44:13 |
| maintainer | None |
| docs_url | None |
| author | Tingshan Liu |
| requires_python | >=3.9 |
| license | BSD 3-Clause License
Copyright (c) YEAR, NeuroData
All rights reserved.
Redistribution and use in source and binary forms, with or without
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|
| keywords |
clustering
gmm
mixture
model selection
|
| VCS |
 |
| bugtrack_url |
|
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# AutoGMM
Automatic Gaussian Mixture Modeling in Python.
### Install
``` bash
pip install autogmm
```
### Quick start
``` python
from autogmm import AutoGMM
from sklearn.datasets import make_blobs
X, _ = make_blobs(
n_samples=1000,
centers=4,
cluster_std=1.2,
random_state=0
)
labels = AutoGMM(
min_components=1,
max_components=10, # unknown K
criterion="bic",
random_state=0
).fit_predict(X)
```
### Features
- Initializations: KMeans, Ward–Euclidean, Ward–Mahalanobis
- EM with eigenvalue flooring and covariance constraints (spherical, diag, tied, full)
- Model selection via BIC/AIC (unknown *K*)
- Optional spectral front-end (ASE/LSE) for nonconvex structure
- Parallel evaluation, clean API, reproducible scripts
### Documentation
- API & Guides: https://github.com/neurodata/autogmm/
- Examples: [examples/](examples) (benchmarks; stress tests; runtime scaling)
- Reproducibility: [scripts/reproduce.sh](scripts/reproduce.sh) (regenerates all figures with fixed seeds)
### Legacy & Independence
AutoGMM was originally developed in the [graspologic](https://github.com/graspologic-org/graspologic/) library.
As of v1.0, it is a standalone package with no dependency on graspologic.
### Contributing
Issues and PRs are welcome. See [CONTRIBUTING.md](CONTRIBUTING.md).
### Citation
``` bibtex
@software{autogmm,
title = {AutoGMM: Automatic Gaussian Mixture Modeling in Python},
author = {Liu, Tingshan and Athey, Thomas L. and Pedigo, Benjamin D. and Vogelstein, Joshua T.},
year = {2025},
url = {https://github.com/neurodata/autogmm}
}
```
### License
BSD 3-Clause License. See [LICENSE](LICENSE).
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