<p>Tree structure where each of the stages of the disease has been clustered in a single cluster using the RFE_clust_Dunn algorithm to select the variables used as input in pvclust [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0124544#pone.0124544.ref043" target="_blank">43</a>] used to perform hierarchical clustering.</p
<p>The graph depicts the clustering models when the isolates were assigned into 2 to 7 clusters (<i>...
Tree represents an unsupervised clustering of cell-sorted sample data from only the CpGs found in th...
<p>The experimental conditions were submitted to hierarchical clustering and the corresponding heat ...
Abstract.—Hyperclust is a new clustering method with which we search for hierarchical struc-ture in ...
<p>Panel (A) shows the hierarchical clustering based on the -Wiener indices (see Step 1 on page 6 fo...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>The frequency of each ICD-10 code is in parenthesis in percentage of the total population of pati...
Summary: Hierarchical clustering is a widely used method for detecting clusters in genomic data. Clu...
<p>Four examples of clusters are presented; for each, a phylogram and graphical representation of th...
Hierarchical clustering of pathogen genotypes is widely used to complement epidemiologic investigati...
<p>On the left the hierarchical clustering of all SNP blocks associated to a particular gene. On the...
Summary: Hierarchical clustering is a widely used method for detecting clusters in genomic data. Clu...
<p>Panel (A) shows the hierarchical clustering based on the -Wiener indices (see Step 1 on page 6 fo...
<p>Ward’s method with a consistency threshold 1.1 used to cluster mutants based on significant chang...
<p>Hierarchical clustering of stress conditions for <i>Synechococcus</i> sp. PCC 7942 and <i>Synecho...
<p>The graph depicts the clustering models when the isolates were assigned into 2 to 7 clusters (<i>...
Tree represents an unsupervised clustering of cell-sorted sample data from only the CpGs found in th...
<p>The experimental conditions were submitted to hierarchical clustering and the corresponding heat ...
Abstract.—Hyperclust is a new clustering method with which we search for hierarchical struc-ture in ...
<p>Panel (A) shows the hierarchical clustering based on the -Wiener indices (see Step 1 on page 6 fo...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>The frequency of each ICD-10 code is in parenthesis in percentage of the total population of pati...
Summary: Hierarchical clustering is a widely used method for detecting clusters in genomic data. Clu...
<p>Four examples of clusters are presented; for each, a phylogram and graphical representation of th...
Hierarchical clustering of pathogen genotypes is widely used to complement epidemiologic investigati...
<p>On the left the hierarchical clustering of all SNP blocks associated to a particular gene. On the...
Summary: Hierarchical clustering is a widely used method for detecting clusters in genomic data. Clu...
<p>Panel (A) shows the hierarchical clustering based on the -Wiener indices (see Step 1 on page 6 fo...
<p>Ward’s method with a consistency threshold 1.1 used to cluster mutants based on significant chang...
<p>Hierarchical clustering of stress conditions for <i>Synechococcus</i> sp. PCC 7942 and <i>Synecho...
<p>The graph depicts the clustering models when the isolates were assigned into 2 to 7 clusters (<i>...
Tree represents an unsupervised clustering of cell-sorted sample data from only the CpGs found in th...
<p>The experimental conditions were submitted to hierarchical clustering and the corresponding heat ...