(A-D) The Pearson correlation between the estimated number of clusters and the ground-truth (Reference) across different methods: Secuer: based on the community detection on the anchor graph (A), Secuer-eigen: based on the eigenvalues of bipartite graph Laplacian between cells and anchors (B) (see Materials and Methods), Louvain (C), and Leiden (D). The mean absolute error (MSE) for each method is shown in the top left corner of the plot. (TIF)</p
<p>The relatively high performing “Parameter given” results refer to cases when the true number of c...
(A) The clustering runtime of each method on all twelve datasets. (B-C) Accuracy of different method...
a. NMI scores of AttentionAE-sc and 9 baseline methods. b. Silhouette scores of 6 community detectio...
In the present paper we compare clustering solutions using indices of paired agreement. We propose a...
<p>A, C, E) Example draws from each of three simulation scenarios (Gaussians, arcs & Gaussians, and ...
<p>Raw scores, representing the quality of clustering result for each <i>k</i>, for each method were...
<p>represents the global clustering coefficient; , the mean local clustering coefficient; r, degree ...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) cluster...
<p>The accuracy summary for the cluster assignment is based on 50 simulated datasets under each mode...
<p>Each bar graph shows, varying the number of clusters <i>N</i><sub><i>cl</i></sub>, how many times...
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
This paper introduces a method which permits valid inference given a nite number of heterogeneous, c...
There are many algorithms to cluster sample data points based on nearness or a similar-ity measure. ...
<p>The relatively high performing “Parameter given” results refer to cases when the true number of c...
(A) The clustering runtime of each method on all twelve datasets. (B-C) Accuracy of different method...
a. NMI scores of AttentionAE-sc and 9 baseline methods. b. Silhouette scores of 6 community detectio...
In the present paper we compare clustering solutions using indices of paired agreement. We propose a...
<p>A, C, E) Example draws from each of three simulation scenarios (Gaussians, arcs & Gaussians, and ...
<p>Raw scores, representing the quality of clustering result for each <i>k</i>, for each method were...
<p>represents the global clustering coefficient; , the mean local clustering coefficient; r, degree ...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) cluster...
<p>The accuracy summary for the cluster assignment is based on 50 simulated datasets under each mode...
<p>Each bar graph shows, varying the number of clusters <i>N</i><sub><i>cl</i></sub>, how many times...
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
This paper introduces a method which permits valid inference given a nite number of heterogeneous, c...
There are many algorithms to cluster sample data points based on nearness or a similar-ity measure. ...
<p>The relatively high performing “Parameter given” results refer to cases when the true number of c...
(A) The clustering runtime of each method on all twelve datasets. (B-C) Accuracy of different method...
a. NMI scores of AttentionAE-sc and 9 baseline methods. b. Silhouette scores of 6 community detectio...