7 packages returned for Tags:"knn"

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. Tutorials... More information

Package Description

k-Nearest Neighbors Search Algorithm, based on the RBush data structure

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.

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.

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.