MLApp technical Report

MLApp solution is a `.NET 10` machine-learning workflow centered on a console application and a set of supporting class libraries.Its primary purpose is to: read scientific or tabular input data validate runtime configuration run K-Means clustering through `ML.NET` generate grouped output artifacts publish an HTML report with optional map visualization The solution is structured as a thin executable layer plus reusable internal libraries for data handling, reading, ML execution, output writing, localization, and parallelization

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-24
DOI
https://doi.org/10.5281/zenodo.19202938
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

MLApp technical Report

Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
article

MLApp technical Report

article en

Abstract

MLApp solution is a `.NET 10` machine-learning workflow centered on a console application and a set of supporting class libraries.Its primary purpose is to: read scientific or tabular input data validate runtime configuration run K-Means clustering through `ML.NET` generate grouped output artifacts publish an HTML report with optional map visualization The solution is structured as a thin executable layer plus reusable internal libraries for data handling, reading, ML execution, output writing, localization, and parallelization

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 12%
Computational Physics and Python Applications
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MLApp technical Report · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS