INAF.Libraries.Net.ML.Output TECHNICAL REPORT
Year: 2026
Type: article
Abstract: 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.
Author: Carraro, Francesco
Institution: National Institute for Astrophysics
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7140202829
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