DPA

A high performance implementation of HDBSCAN clustering.

A Python toolbox for gaining geometric insights into high-dimensional data

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

Clustering routines for the unit sphere

C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.

Fast and Efficient Implementation of HDBSCAN in C++ using STL

A high performance implementation of Reciprocal Agglomerative Clustering in C++

Simplicial Homology Global Optimization

A very simple self-supervised image classification framework!

K-Means algorithm implementation with Hadoop and Spark for the course of Cloud Computing of the MSc AIDE at the University of Pisa.