Machine Learning with ML.NET in UWP: Clustering

This is the first in a series of articles on implementing Machine Learning scenarios in UWP apps. All of these are cross platform Open Source technologies, all of these are written in C#, all of these are free, and all of these can be used on the UWP platform, albeit with some -hopefully temporary- restrictions. Currently the large majority of the online samples on ML.NET are straightforward console apps. That's fine if want to learn the API, but we want to figure out how ML.NET behaves in a more hostile enterprise-ish environment – where calculations should not block the UI, data should be visualized in sexy graphs, and architectural constraints may apply. Machine learning is a data science technique that allows computers to use existing data to forecast future behaviors, outcomes, and trends.