|
\({\mathcal {C}}^2\)
|
\({\mathcal {C}}^{5}\)
|
\({\mathcal {C}}^{7}\)
|
---|
Median F-measure
|
0.9441931
|
0.8530806
|
0.957045
|
Database Clustering
|
Complete linkage
|
HDBSCAN
|
Complete linkage
|
Template Formation
|
Pooling
|
Pooling
|
HDBSCAN
|
Assigned Cluster
|
1
|
6
|
2
|
Sample Clustering
|
tclust
|
tclust
|
tclust
|
Supervised Classification
|
QDA
|
QDA from template
|
Random forest
|
Assigned Cytometry
|
\({\mathcal {C}}^{1}\)
| |
\({\mathcal {C}}^{8}\)
|
|
\({\mathcal {C}}^{9}\)
|
\({\mathcal {C}}^{14}\)
|
\({\mathcal {C}}^{15}\)
|
---|
Median F-measure
|
0.9458429
|
0.9254252
|
0.8807339
|
Database Clustering
|
HDBSCAN
|
HDBSCAN
|
HDBSCAN
|
Template Formation
|
Pooling
|
k-barycenter
|
k-barycenter
|
Assigned Cluster
|
9
|
1
|
1
|
Sample Clustering
|
tclust
|
tclust
|
tclust
|
Supervised Classification
|
QDA
|
Label transfer with (6)
|
Random forest
|
Assigned Cytometry
|
\({\mathcal {C}}^{13}\)
| |
\({\mathcal {C}}^{1}\)
|
|
\({\mathcal {C}}^{17}\)
|
\({\mathcal {C}}^{18}\)
|
\({\mathcal {C}}^{26}\)
|
---|
Median F-measure
|
0.9679446
|
0.9575489
|
0.8316279
|
Database Clustering
|
HDBSCAN
|
HDBSCAN
|
Complete linkage
|
Template Formation
|
HDBSCAN
|
HDBSCAN
|
HDBSCAN
|
Assigned Cluster
|
7
|
7
|
4
|
Sample Clustering
|
tclust
|
flowMeans
|
tclust
|
Supervised Classification
|
Random forest
|
Random forest
|
Random forest
|
Assigned Cytometry
|
\({\mathcal {C}}^{20}\)
|
\({\mathcal {C}}^{20}\)
|
\({\mathcal {C}}^{24}\)
|
|
\({\mathcal {C}}^{27}\)
|
\({\mathcal {C}}^{29}\)
|
\({\mathcal {C}}^{31}\)
|
---|
Median F-measure
|
0.9312977
|
0.9259644
|
0.931515
|
Database Clustering
|
Complete linkage
|
Complete linkage
|
HDBSCAN
|
Template Formation
|
Pooling
|
k-barycenter
|
Pooling
|
Assigned Cluster
|
5
|
6
|
4
|
Sample Clustering
|
tclust
|
flowMeans
|
tclust
|
Supervised Classification
|
Random forest
|
Random forest
|
QDA from template
|
Assigned Cytometry
|
\({\mathcal {C}}^{28}\)
|
\({\mathcal {C}}^{33}\)
| |
|
\({\mathcal {C}}^{40}\)
|
---|
Median F-measure
|
0.8240522
|
Database Clustering
|
Complete linkage
|
Template Formation
|
Pooling
|
Assigned Cluster
|
6
|
Sample Clustering
|
tclust
|
Supervised Classification
|
Random forest
|
Assigned Cytometry
|
\({\mathcal {C}}^{30}\)
|
- Database Clustering refers to the clustering method used in line 17 in Algorithm 1. Template Formation refers to the method used in line 19 in Algorithm 1. Assigned Cluster refers to the label of the cluster as given in Table 2 to which the new cytometry is assigned. Sample Clustering refers to how we obtain \({\mathcal {C}}^u\) in Algorithm 5. Supervised Classification refers to the method used in line 13 in Algorithm 5. Assigned Cytometry refers to the optimal cytometry in the respective cluster that is used for learning (when applicable)