Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction

24 March 2022

Papers citing "Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction"

6 / 6 papers shown

Title
Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data Lukas Heine Fabian Horst Jana Fragemann Gijs Luijten M. Balzer Jan Egger F. Bahnsen M. Sarfraz Jens Kleesiek 30 0 0 25 Sep 2024
A survey of manifold learning and its applications for multimedia Hannes Fassold 47 1 0 08 Sep 2023
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation Alexander Koenig Maximilian Schambach Johannes Otterbach 27 6 0 14 Apr 2023
Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection Yang Yang Hongjian Sun Jialei Gong Di Yu FAtt 34 2 0 17 Nov 2022
Empirical complexity of comparator-based nearest neighbor descent Jacob D. Baron R. Darling 22 6 0 30 Jan 2022
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization Yingfan Wang Haiyang Huang Cynthia Rudin Yaron Shaposhnik 174 306 0 08 Dec 2020