Common clustering techniques include k-means, Gaussian mixture model, density-based and spectral. This article explains how to implement one version of k-means clustering from scratch using the C# ...

This article presents a technique for clustering mixed categorical and numeric data using standard k-means clustering implemented using the C# language. Briefly, the source mixed data is preprocessed ...

Last, it can run Machine Learning benchmarks for K-Means clustering, Gradient Boosted Tress and many more. The benchmarks can run on different data sizes from tiny to big data.