New Geometric Methods of Mixture Models for Interactive Visualization

The main goal of this research project is to fundamentally advance visualization and data
summarization by novel geometric methods of mixture models. We will develop theories and algorithms that uncover the prominent geometric features of mixture density. Based on the theoretical advances, we will develop novel approaches to clustering, dimension reduction, variable selection, and temporal analysis. A suite of statistical tools will be integrated as the technical backbone into a new visualization system. Applications to very large-scale, high dimensional, and temporally evolving data will be developed. The project is funded by NSF. Here is the project website: New Geometric Methods of Mixture Models for Interactive Visualization

Demos