[ aramo ]
[ 源代码: umap-learn ]
软件包: umap-learn (0.4.5+dfsg-2)
umap-learn 的相关链接
Trisquel 的资源:
下载源码包 umap-learn:
- [umap-learn_0.4.5+dfsg-2.dsc]
- [umap-learn_0.4.5+dfsg.orig.tar.xz]
- [umap-learn_0.4.5+dfsg-2.debian.tar.xz]
维护者:
Original Maintainers:
- Debian Med Packaging Team (Mail Archive)
- Andreas Tille
- Nilesh Patra
外部的资源:
- 主页 [github.com]
相似软件包:
Uniform Manifold Approximation and Projection
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.
其他与 umap-learn 有关的软件包
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
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- dep: python3-numba
- native machine code compiler for Python 3
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- dep: python3-numpy
- Fast array facility to the Python 3 language
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- dep: python3-scipy
- scientific tools for Python 3
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- dep: python3-sklearn
- Python modules for machine learning and data mining - Python 3