{"title":"Uniform manifold approximation and projection","authors":"John Healy, Leland McInnes","doi":"10.1038/s43586-024-00363-x","DOIUrl":null,"url":null,"abstract":"Uniform manifold approximation and projection is a nonlinear dimension reduction method often used for visualizing data and as pre-processing for further machine-learning tasks such as clustering. In this Primer, we provide an introduction to the uniform manifold approximation and projection algorithm, the intuitions behind how it works, how best to apply it on data and how to interpret and understand results. Uniform manifold approximation and projection is a dimensionality reduction technique used to visualize and understand high-dimensional data. In this Primer, Healy and McInnes outline the use of the uniform manifold approximation and projection algorithm and its application to diverse data.","PeriodicalId":74250,"journal":{"name":"Nature reviews. Methods primers","volume":" ","pages":"1-15"},"PeriodicalIF":50.1000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature reviews. Methods primers","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s43586-024-00363-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Uniform manifold approximation and projection is a nonlinear dimension reduction method often used for visualizing data and as pre-processing for further machine-learning tasks such as clustering. In this Primer, we provide an introduction to the uniform manifold approximation and projection algorithm, the intuitions behind how it works, how best to apply it on data and how to interpret and understand results. Uniform manifold approximation and projection is a dimensionality reduction technique used to visualize and understand high-dimensional data. In this Primer, Healy and McInnes outline the use of the uniform manifold approximation and projection algorithm and its application to diverse data.