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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Installation and requirements

AuToMATo can be installed via pip by running pip install -U automato.

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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Installing AuToMATo from PyPI for uv users

$ uv init
$ uv add automato
$ uv run python
>>> from automato import Automato
>>> ...