Clustering routines for the unit sphere
-
Updated
Mar 20, 2024 - Python
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
Python package implementing ideal and shrinkage-based geodesic slice samplers defined on the n-sphere.
Implementation of the Expectation Maximization Algorithm for Hidden Markov Models including several Directional Distributions
A curated BibTeX file with more than 1700 contributions in Directional Statistics
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
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'
Add a description, image, and links to the directional-statistics topic page so that developers can more easily learn about it.
To associate your repository with the directional-statistics topic, visit your repo's landing page and select "manage topics."