1. Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms;xiao;ArXiv Preprint,2017
2. Understanding how dimension reduction tools work: An empirical approach to deciphering t-sne, umap, trimap, and pacmap for data visualization;wang;Journal of Machine Learning Research,2021
3. Visualizing Large-scale and High-dimensional Data
4. Efficient Parameter-Free Clustering Using First Neighbor Relations
5. A Nonlinear Mapping for Data Structure Analysis