INAF.Libraries.Net.ML.Output TECHNICAL REPORT
Carraro, Francesco · Zenodo (CERN European Organization for Nuclear Research) · 2026
This solution provides a small set of .NET class libraries for machine-learning clustering and output generation. Its main purpose is to execute K-Means clustering on numerical data, transform the predicted cluster assignments into grouped sample summaries, and generate structured output artifacts such as HTML reports and serialized sample-group data.