Generated two types of datasets: 3D S-shape and Swiss Roll. Plot the 3D visualization of both datasets then apply manifold learning methods like Isomap, Laplacian Eigenmaps and Locally Linear Embedding(LLE) to obtain new “unrolled” data on the 2D space.
-
Notifications
You must be signed in to change notification settings - Fork 0
Generated two types of datasets: 3D S-shape and Swiss Roll. Plot the 3D visualization of both datasets then apply manifold learning methods like Isomap, Laplacian Eigenmaps and Locally Linear Embedding(LLE) to obtain new “unrolled” data on the 2D space.
License
harbhajan21/Generating_3D_Shaped_and_Swiss_ROll_for_Manifold_Learning
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Generated two types of datasets: 3D S-shape and Swiss Roll. Plot the 3D visualization of both datasets then apply manifold learning methods like Isomap, Laplacian Eigenmaps and Locally Linear Embedding(LLE) to obtain new “unrolled” data on the 2D space.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published