Asterism documentation

Asterism is a collection of semantic segmentation models and dimension reduction algorithms applied to point cloud data. Current methods include variations of latent Dirichlet allocation, several neural topic models, and a neural clustering process. It also serves as a test bed for ATLAS, a nonparametric neural topic model for discovering a variable number of spatially-resolved clusters.

Installation

install.html

Examples

examples.html

Reference

reference.html

GitHub

https://github.com/craigfouts/asterism/tree/main