2018年2月9日 · UMAP (Uniform Manifold Approximation and Projection) is a novel manifold learning technique for dimension reduction. UMAP is constructed from a theoretical framework based in Riemannian geometry and algebraic topology. The result is a practical scalable algorithm that applies to real world data.

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

2025年1月9日 · umap 图，全称是 统一流形逼近与投影图 ，是数据降维可视化的神器 它能把复杂的高维数据，巧妙地投影到二维或三维空间，让我们一眼看清数据分布与关系。

2024年11月21日 · Uniform manifold approximation and projection (UMAP) is a nonlinear dimension reduction method often used for visualizing data and as pre-processing for...

2024年6月1日 · Uniform manifold approximation and projection (UMAP) is among the most highly appraised and most powerful procedures for data visualization and dimension reduction. Despite having been proposed fairly recently, UMAP has immediately excited the entire community.

UMAP（Uniform Manifold Approximation and Projection）是一种广泛用于高维数据降维的算法，在单细胞分析中常用于可视化细胞的聚类和群体关系。 以下是 UMAP 的常见参数及调整建议。

2018年2月9日 · UMAP (Uniform Manifold Approximation and Projection) is a novel manifold learning technique for dimension reduction. UMAP is constructed from a theoretical...

2023年2月3日 · UMAP assumes and approximates that the data points are uniformly distributed on an underlying manifold; it projects, or embeds, the data onto a subspace for dimensionality reduction. The theory behind UMAP is based on algebraic topology and category theory.

Uniform Manifold Approximation and Projec-tion (UMAP) is one of the state-of-the-art meth-ods for dimensionality reduction and data visu-alization. This is a tutorial and survey paper on UMAP and its variants.

UMAP (Uniform Manifold Approximation and Projection) is a novel manifold learning technique for dimension reduction. UMAP is constructed from a theoretical framework based in Riemannian geometry and algebraic topology. The result is a practical scalable algorithm that applies to …