umap-learn binary package in Ubuntu Lunar amd64
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.
Publishing history
Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
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2023-03-07 11:09:18 UTC | Published | Ubuntu Lunar amd64 | release | universe | science | Optional | 0.5.3+dfsg-2 | ||
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Deleted | Ubuntu Lunar amd64 | proposed | universe | science | Optional | 0.5.3+dfsg-2 | |||
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2023-02-18 12:34:01 UTC | Superseded | Ubuntu Lunar amd64 | proposed | universe | science | Optional | 0.5.3+dfsg-1 | ||
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2024-01-12 00:10:19 UTC | Deleted | Ubuntu Lunar amd64 | release | universe | science | Optional | 0.4.5+dfsg-3 | ||
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