Basic functions for clustering data: k-means, dp-means, etc.
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Multidimensional cluster generation in Julia.
Multidimensional cluster generation in R.
High performance library for time series distances (DTW) and time series clustering.
A library for efficient similarity search and clustering of dense vectors.
Python distributed computing library for modern computer clusters.
GPU cluster manager for running and managing LLMs.
Framework that allows for the distributed processing of large data sets across clusters.
Implementation of the hdbscan algorithm in Python - used for clustering.
Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
Multidimensional cluster generation in MATLAB/Octave.
Resource scheduling and cluster management for AI.
Multidimensional cluster generation in Python.
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Tribuo is a Java ML library for multi-class classification, regression, clustering, anomaly detection and multi-label classification.
JSMLT - Machine learning toolkit with classification and clustering for Node.js; supports visualization (see ).