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
B
I
C
9.03
1.59
6–12
6.03
flowClust
I
C
L
2.00
—
2-2
−
1.00
GMM
B
I
C
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
—
flowMerge
K
0.0445
0.0104
0.0312–0.0669
—
Misclassification rate (best model)
flowClust
B
I
C
0.398
0.101
0.230–0.613
—
GMM
B
I
C
0.499
0.0756
0.339–0.625
—
flowMerge
0.0685
0.0223
0.0383–0.121
—