Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
C# library for fast approximate nearest neighbours search using Hierarchical Navigable Small World graphs.
Fork from original at https://github.com/microsoft/HNSW.Net, adds support for incremental build and MessagePack serialization.
This is an extremely-fast and easy to use KDTree written entirely in modern C#. This is the fastest and simplest to use KDTree that I have been able to find for .NET. The project has thorough documentation and is open-source. This module is a part of the larger Supercluster project.
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