Work

MLApp technical Report

Year: 2026

Type: article

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

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19202938

Author: Carraro, Francesco

Institution: National Institute for Astrophysics

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7140188691

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