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Welcome to Atom package documentation!
Atom implements a problem-agnostic structured clustering approach that can be be used to tackle a wide variety of segmentation and clustering problems. It implements a sklearn-looking "pipeline" architecture that allows data scientists to build efficiently segmentations that combine deterministic rules (business rules to classify quantities) and statistical clustering (e.g. K-means).
It leverages graphviz to allow datascientists to visualise their segmentations pipelines as directed acyclic graphs.
You will find complete documentation on the Atom Docs site.