INAF.Libraries.Net.ML.Output TECHNICAL REPORT

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-24
DOI
https://doi.org/10.5281/zenodo.19205402
Primary Topic
Advanced Clustering Algorithms Research
Type
article
Field-Weighted Citation Impact
0.00
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article

INAF.Libraries.Net.ML.Output TECHNICAL REPORT

Zenodo (CERN European Organization for Nuclear Research)
Advanced Clustering Algorithms Research
article

INAF.Libraries.Net.ML.Output TECHNICAL REPORT

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 12%
Advanced Clustering Algorithms Research
DOIOpen Access PDFOpenAlex
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INAF.Libraries.Net.ML.Output TECHNICAL REPORT · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS