Article

Bayesian clustering with uncertain data

2022-12-10

Abstract excerpt

Clustering is widely used in bioinformatics and many other fields, with applications from exploratory analysis to prediction. Many types of data have associated uncertainty or measurement error, but this is rarely used to inform the clustering. We present Dirichlet Process Mixtures with Uncertainty (DPMUnc), an extension of a Bayesian nonparametric clustering algorithm which makes use of the uncertainty associated...

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Literature Corpus work: cc752356-2ce1-5de3-b5b1-c8b4c14246ed
DOI: 10.1101/2022.12.07.519476

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