Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

A lean C++ library for working with point cloud data

Versatile open-source tool for microbiome analysis

BanditPAM C++ implementation and Python package

[ROS package] Lightweight and Accurate Point Cloud Clustering

Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms - R package

Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.

An open-source library of algorithms to analyse time series in GPU and CPU.

An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019

Performance-portable geometric search library

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

A robust and fast clustering method for amplicon-based studies

Cluster and merge similar string values: an R implementation of Open Refine clustering algorithms

Rcpp Machine Learning: Fast robust NMF, divisive clustering, and more

c++ implementation of clustering by DBSCAN

Hazelcast IMDG C++ Client

Probably the fastest C++ dbscan library.

Theoretically Efficient and Practical Parallel DBSCAN

Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R