umap-learn 0.5.3+dfsg-1 (amd64 binary) in ubuntu lunar
Uniform Manifold Approximation and Projection (UMAP) is a dimension
reduction technique that can be used for visualisation similarly to t-
SNE, but also for general non-linear dimension reduction. The algorithm
is founded on three assumptions about the data:
.
1. The data is uniformly distributed on a Riemannian manifold;
2. The Riemannian metric is locally constant (or can be
approximated as such);
3. The manifold is locally connected.
.
From these assumptions it is possible to model the manifold with a fuzzy
topological structure. The embedding is found by searching for a low
dimensional projection of the data that has the closest possible
equivalent fuzzy topological structure.
Details
- Package version:
- 0.5.3+dfsg-1
- Status:
- Superseded
- Component:
- universe
- Priority:
- Optional
Downloadable files
amd64 build of umap-learn 0.5.3+dfsg-1 in ubuntu lunar PROPOSED produced
these files:
- umap-learn_0.5.3+dfsg-1_all.deb (112.5 KiB)