Merging Mixture Components for Cell Population Identification in Flow Cytometry

Table 3

Mean, standard deviation, 95% coverage, and bias of the estimated number of clusters for each model, as well as the mean, standard deviation and 95% coverage for the misclassification rate of each model. CI: coverage interval.

Statistic	Model	Mean	SD	95% CI	Bias
Number of clusters	flowClust BIC	9.03	1.59	6–12	6.03
	flowClustICL	2.00	—	2-2	−1.00
	GMMBIC	10.41	1.31	8–12	7.14
	flowMerge	5.45	0.97	4–7	2.45
Misclassification rate (𝐾=3)	flowClust	0.103	0.00826	0.0937–0.112	—
	GMM	0.124	0.00537	0.114–0.134	—
	flowMergeK	0.0445	0.0104	0.0312–0.0669	—
Misclassification rate (best model)	flowClustBIC	0.398	0.101	0.230–0.613	—
	GMMBIC	0.499	0.0756	0.339–0.625	—
	flowMerge	0.0685	0.0223	0.0383–0.121	—