<p>We simulated three cluster types: “common” (<i>Cluster pattern 1</i>), “nested” (<i>Cluster pattern 2</i>) and “overlapping” (<i>Cluster pattern 3</i>) that are shared across three or more conditions. For <i>Cluster pattern 2</i> and <i>Cluster pattern 3</i>, the “intersection cluster” is defined by the nodes in common to all conditions (red square) whereas the “union cluster” is defined by the nodes in common to all conditions plus the nodes present in individual conditions (black square).</p
<p>A) the worldwide dataset for 14 loci (we excluded M2-13 due to missing data), and B) the worldwid...
<p><b>A</b>, Our NC model is schematically illustrated. The connection probability is higher in clus...
<p>Three example clusters that developed in a simulation with an object distribution biased against ...
Simulation studies are often used to compare different clustering methods, be it with the aim of pro...
<p>Panel (A) co-clustering; (B) multiple clustering (with full covariance of Gaussian); (C) multiple...
<p><b>(A)</b> Graph showing the resulting BIC values depending on the number of clusters. Results ar...
<p>The graph depicts the clustering models when the isolates were assigned into 2 to 7 clusters (<i>...
The OCLUS algorithm and genRandomClust algorithm are newest proposals of generating multivariate clu...
none1noConstructivist philosophy and Hasok Chang’s active scientific realism are used to argue that ...
Many infectious diseases exist in several pathogenic variants, or strains, which interact via cross-...
<p>The plots represent the comparison of five different methods of finding optimum number of cluster...
<p>Clustering was calculated from the inter-frame Cα RMSD of the 310 K replicas. The ranking of the ...
Many infectious diseases exist in several pathogenic variants, or strains, which interact via cross-...
There are many algorithms to cluster sample data points based on nearness or a similar-ity measure. ...
Abstract: Clustering is the assignment of data objects (records) into groups (called clusters) so th...
<p>A) the worldwide dataset for 14 loci (we excluded M2-13 due to missing data), and B) the worldwid...
<p><b>A</b>, Our NC model is schematically illustrated. The connection probability is higher in clus...
<p>Three example clusters that developed in a simulation with an object distribution biased against ...
Simulation studies are often used to compare different clustering methods, be it with the aim of pro...
<p>Panel (A) co-clustering; (B) multiple clustering (with full covariance of Gaussian); (C) multiple...
<p><b>(A)</b> Graph showing the resulting BIC values depending on the number of clusters. Results ar...
<p>The graph depicts the clustering models when the isolates were assigned into 2 to 7 clusters (<i>...
The OCLUS algorithm and genRandomClust algorithm are newest proposals of generating multivariate clu...
none1noConstructivist philosophy and Hasok Chang’s active scientific realism are used to argue that ...
Many infectious diseases exist in several pathogenic variants, or strains, which interact via cross-...
<p>The plots represent the comparison of five different methods of finding optimum number of cluster...
<p>Clustering was calculated from the inter-frame Cα RMSD of the 310 K replicas. The ranking of the ...
Many infectious diseases exist in several pathogenic variants, or strains, which interact via cross-...
There are many algorithms to cluster sample data points based on nearness or a similar-ity measure. ...
Abstract: Clustering is the assignment of data objects (records) into groups (called clusters) so th...
<p>A) the worldwide dataset for 14 loci (we excluded M2-13 due to missing data), and B) the worldwid...
<p><b>A</b>, Our NC model is schematically illustrated. The connection probability is higher in clus...
<p>Three example clusters that developed in a simulation with an object distribution biased against ...