MaksimEkin / COVID19-Literature-Clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

Date Created 2020-03-17 (5 years ago)

Commits 147 (last one 3 years ago)

Stargazers 93 (0 this week)

Watchers 10 (0 this week)

Forks 57

License apache-2.0

Ranking

RepositoryStats indexes 630,443 repositories, of these MaksimEkin/COVID19-Literature-Clustering is ranked #321,457 (49th percentile) for total stargazers, and #200,508 for total watchers. Github reports the primary language for this repository as HTML, for repositories using this language it is ranked #8,082/16,460.

MaksimEkin/COVID19-Literature-Clustering is also tagged with popular topics, for these it's ranked: machine-learning (#5,115/8384), classification (#334/571), clustering (#237/378), covid-19 (#164/316), coronavirus (#76/137), sklearn (#83/134), kaggle (#67/130)

Other Information

Homepage URL: https://maksimekin.github.io/COVID19-Literature-Clustering/plots/t-sne_covid-19_interactive.html

All Topics

pca tsne bokeh kaggle kmeans sklearn covid-19 clustering coronavirus random-forest classification sgd-classifier machine-learning kmeans-clustering dimensionality-reduction principal-component-analysis

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MaksimEkin/COVID19-Literature-Clustering

updated: 2025-03-17 @ 05:50pm, id: 247921931 / R_kgDODsb9Cw