全部搜尋項
bullseye  ] [  bookworm  ] [  sid  ]
[ 原始碼: umap-learn  ]

套件:umap-learn(0.5.3+dfsg-2)

umap-learn 的相關連結

Screenshot

Debian 的資源:

下載原始碼套件 umap-learn

維護小組:

外部的資源:

相似套件:

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.

其他與 umap-learn 有關的套件

  • 依賴
  • 推薦
  • 建議
  • 增強

下載 umap-learn

下載可用於所有硬體架構的
硬體架構 套件大小 安裝後大小 檔案
all 108。1 kB523。0 kB [檔案列表]