automato 0.1.0

Implementation of the AuToMATo clustering algorithm.

Implementation of the AuToMATo clustering algorithm introduced in AuToMATo: An Out-Of-The-Box Persistence-Based Clustering Algorithm.

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Example of running AuToMATo

>>> from automato import Automato
>>> from sklearn.datasets import make_blobs
>>> X, y = make_blobs(centers=2, random_state=42)
>>> aut = Automato(random_state=42).fit(X)
>>> aut.n_clusters_
2
>>> (aut.labels_ == y).all()
True

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Requirements

Required Python dependencies are specified in pyproject.toml. Provided that uv is installed, these dependencies can be installed by running uv pip install -r pyproject.toml. The environment specified in uv.lock can be recreated by running uv sync.

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Example of installing AuToMATo from source for uv users

$ git clone github.com/m-a-huber/AuToMATo
$ cd AuToMATo
$ uv sync --no-dev
$ source .venv/bin/activate
$ python
>>> from automato import Automato
>>> ...