Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)
-
Updated
Apr 26, 2023 - Python
#
kernel-approximation
Here are 6 public repositories matching this topic...
Quadrature-based features for kernel approximation
-
Updated
Oct 30, 2018 - Python
-
Updated
Jul 14, 2018 - Python
fast orthogonal random transforms (in R)
machine-learning r rcpp dimensionality-reduction r-package random-projections rcpparmadillo fastfood kernel-approximation randomized-linear-algebra orthogonal-transforms orthogonal-projection
-
Updated
Oct 23, 2023 - R
Exploring meachine learning techniques and algorithms. Including clustering algorithms, perceptron and, more.
python machine-learning clustering scikit-learn perceptron k-means dbscan kernel-trick agglomerative kernel-approximation rand-index kernelized-perceptron
-
Updated
Jul 16, 2022 - HTML
simple classifier with perceptron (university assignment)
-
Updated
Jul 26, 2023 - Jupyter Notebook
Improve this page
Add a description, image, and links to the kernel-approximation topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the kernel-approximation topic, visit your repo's landing page and select "manage topics."