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Technical report demonstrates a machine learning application that generates HTML reports from data, indicating a useful tool for data analysis.
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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Francesco Carraro (2026) studied this question.
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