What question did this study set out to answer?

The aim is to present a .NET machine learning application that automates data processing and reporting.

March 26, 2026Open Access

MLApp technical Report

Key Points

The aim is to present a .NET machine learning application that automates data processing and reporting.
Develop a console application for workflow execution.
Implement K-Means clustering using ML.NET.
Structure the solution with supporting class libraries for data handling and output generation.
Include features for localization and parallelization.
Successfully reads and validates input data.
Generates output artifacts from clustering results.
Publishes HTML reports with optional map visualizations.

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

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Cite This Study

Francesco Carraro (Tue,) studied this question.

synapsesocial.com/papers/69c4cd05fdc3bde448918cf8 https://doi.org/https://doi.org/10.5281/zenodo.19202939

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