<p>A single, randomly taken simulated data set is shown per case, with 100 records, 100 randomized null data sets and 500 bootstrap resamples per data set. The graphs (left) show the variance criterion for all possible numbers of clusters along with the lower 2.5 percentile for the corresponding null situation of no correlation between variables (simple lines). Grey circles mark correct clustering results for regular partitions. The diagrams to the right represent the different situations. The grayscale indicates the value of the correlation between variables (triangles) in the same ellipse. These were 0.273 and 0.545 in the eight variable cases (a–c), and 0.214, 0.429 and 0.643 in the 16 variable cases (d to f).</p
<p><b>A</b>: Dendrogram illustrating the result of hierarchical cluster analysis. The units (n = 233...
Figure S2. Hierarchical STRUCTURE analysis identified clusters within each of the three major lineag...
<p>For each group (survivor or non-survivor), ten thousands parameter sets were randomly sampled fro...
Abstract: Cluster analysis has proved to be an invaluable tool for the exploratory and un-supervised...
A single higher-order cluster analysis can be used to group cluster mean profiles derived from sever...
<p>(A) Histogram of total number of communities detected in each network, for the 3 algorithms. Freq...
<p>The true number of communities is given in parenthesis next to each curve. The proposed inference...
We consider the problem of determining whether the community structure found by a clustering algorit...
<p>Four examples of clusters are presented; for each, a phylogram and graphical representation of th...
P, H, D are the number of nodes, the number of hierarchy, the number of division in each hierarchy, ...
Nine hierarchical and four nonhierarchical clustering algorithms were compared on their ability to r...
(A) Graphs can display heterogeneity in hierarchical community structure. To gain intuition regardin...
International audienceMining relational data often boils down to computing clusters, that is finding...
<p>Hierarchical clustering analyses of Bray-Curtis similarities of the community composition at OTU ...
The large amount of work on community detection and its applications leaves unaddressed one importan...
<p><b>A</b>: Dendrogram illustrating the result of hierarchical cluster analysis. The units (n = 233...
Figure S2. Hierarchical STRUCTURE analysis identified clusters within each of the three major lineag...
<p>For each group (survivor or non-survivor), ten thousands parameter sets were randomly sampled fro...
Abstract: Cluster analysis has proved to be an invaluable tool for the exploratory and un-supervised...
A single higher-order cluster analysis can be used to group cluster mean profiles derived from sever...
<p>(A) Histogram of total number of communities detected in each network, for the 3 algorithms. Freq...
<p>The true number of communities is given in parenthesis next to each curve. The proposed inference...
We consider the problem of determining whether the community structure found by a clustering algorit...
<p>Four examples of clusters are presented; for each, a phylogram and graphical representation of th...
P, H, D are the number of nodes, the number of hierarchy, the number of division in each hierarchy, ...
Nine hierarchical and four nonhierarchical clustering algorithms were compared on their ability to r...
(A) Graphs can display heterogeneity in hierarchical community structure. To gain intuition regardin...
International audienceMining relational data often boils down to computing clusters, that is finding...
<p>Hierarchical clustering analyses of Bray-Curtis similarities of the community composition at OTU ...
The large amount of work on community detection and its applications leaves unaddressed one importan...
<p><b>A</b>: Dendrogram illustrating the result of hierarchical cluster analysis. The units (n = 233...
Figure S2. Hierarchical STRUCTURE analysis identified clusters within each of the three major lineag...
<p>For each group (survivor or non-survivor), ten thousands parameter sets were randomly sampled fro...