GeoWaVe: geometric median clustering with weighted voting for ensemble clustering of cytometry data.

ABSTRACT:

Motivation

Clustering is an unsupervised method for identifying structure in unlabelled data. In the context of cytometry, it is typically used to categorize cells into subpopulations of similar phenotypes. However, clustering is greatly dependent on hyperparameters and the data to which it is applied as each algorithm makes different assumptions and generates a different 'view' of the dataset. As such, the choice of clustering algorithm can significantly influence results, and there is often not one preferred method but different insights to be obtained from different methods. To overcome these limitations, consensus approaches are needed that directly address the effect of competing algorithms. To the best of our knowledge, consensus clustering algorithms designed specifically fo

SUBMITTER: Burton RJ 

PROVIDER: S-EPMC9805571 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature