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