K-Means Constrained
JSON →K-Means Constrained is a Python library that implements K-Means clustering with user-defined minimum and maximum cluster size constraints. It's based on the constrained k-means algorithm by Bradley, Bennett, & Demiriz (2000). The current version is 0.9.0, and the project maintains an active but moderate release cadence, typically releasing updates a few times a year.
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Resources
API endpoints
full doc /v1/registry/k-means-constrained
compatibility /v1/registry/k-means-constrained/compatibility