We develop methodology for visualization of labeled mixed-featured datasets. We first investigate datasets with continuous features where our Max-Ratio Projection (MRP) method utilizes the group information in high dimensions to provide distinctive lower-dimensional projections that are then displayed using Radviz3D. Our methodology is extended to datasets with discrete and continuous features where a Gaussianized distributional transform is used in conjunction with copula models before applying MRP and visualizing the result using RadViz3D. A R package radviz3d implementing our complete methodology is available.
@article{arxiv.1904.06366,
title = {Visualization of Labeled Mixed-featured Datasets},
author = {Yifan Zhu and Fan Dai and Ranjan Maitra},
journal= {arXiv preprint arXiv:1904.06366},
year = {2021}
}