GitHub

izzydi/Umap-with-python

UMAP (Uniform Manifold Approximation and Projection) is a popular dimensionality reduction technique in machine learning and data science that is widely used for data visualization and clustering. It ...
GitHub

izzydi/Feature-Selection-Random-Forest-Suppor-Vector-Machines-Xgboost-and-UMAP-in-Python

This project focuses on feature selection and dimensionality reduction techniques applied to a classification problem in Python. I used several popular algorithms such as Random Forest, Support Vector ...
Europe PMC

Evaluation of UMAP as an alternative to t-SNE for single-cell data

Uniform Manifold Approximation and Projection (UMAP) is a recently-published non-linear dimensionality reduction technique. Another such algorithm, t-SNE, has been the default method for such task in ...
IEEE

Sketch and Scale Geo-distributed tSNE and UMAP

Abstract: Running machine learning analytics over geographically distributed datasets is a rapidly arising problem in the world of data management policies ensuring privacy and data security.