Ge et al., 2012 - Google Patents

flowPeaks: a fast unsupervised clustering for flow cytometry data via K-means and density peak finding

Ge et al., 2012

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Document ID
14500774204761956562
Author
Ge Y
Sealfon S
Publication year
Publication venue
Bioinformatics

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Motivation: For flow cytometry data, there are two common approaches to the unsupervised clustering problem: one is based on the finite mixture model and the other on spatial exploration of the histograms. The former is computationally slow and has difficulty to identify …
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