Clustering routines for the unit sphere

Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)

Nonparametric kernel density estimation, bandwidth selection, and other utilities for analyzing directional data

Implementation of uniformity tests on the circle and (hyper)sphere, with a C++ core. The package allows the replication of the data application in "On a projection-based class of uniformity tests on the hypersphere"

Spherical statistics in Python

A curated BibTeX file with more than 1700 contributions in Directional Statistics

Implementation of the geodesic slice sampling on the sphere

Implementation of the Expectation Maximization Algorithm for Hidden Markov Models including several Directional Distributions

PCA on the torus using density ridges. Software companion for "Toroidal PCA via density ridges"

Directional Co-clustering with a Conscience (DCC)

A set of Course projects developed during the MSc on Mathematical Modelling and Computation at DTU

A directional-linear finite mixture model for clustering

Tests for rotational symmetry on the hypersphere. Software companion for "On optimal tests for rotational symmetry against new classes of hyperspherical distributions"

Uniformization tool for directional statistics on sphere

Bingham Distribution Directional Statistics Library in Eigen3 / C++17

Python3 Implementation of (Subspace Constrained) Mean Shift Algorithm in Euclidean and Directional Product Spaces

Hidden Markov Models with Directional Distributions for EEG data modeling

A companion repository for 'Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task'