<p>a) Dendrogram illustrating hierarchical clustering of all observations based on the position along the principal component 1, 2 and 3. The cutting of the dendrogram identifies four clusters of observations based on their mutual ardency on the PCA; b and c) Visualisation of the 4 clusters on the original bi-plot.</p
<p>Dendrogram for clustering experiments was created using centred correlation and average linkage m...
<p>Dendrogram of hierarchical clustering showing a clear distinction between control MCF-7 and cells...
(a) Dendrogram illustrating the results of hierarchical clustering. (b) Silhouette coefficients calc...
<p>Based on the log10(IC20), the clustering used the Euclidean dissimilarity measure. A. Heat map re...
Dendrogram resulting from hierachical clustering analysis and presenting different clusters of corre...
<p>Dendrogram resulting from the Hierarchical Clustering Analysis of the 16 variables.</p
<p>Unsupervised Hierarchical Clustering of all samples following quantile normalization highlighting...
A dendrogram from the cluster analysis using Ward’s hierarchical method for the observed concentrati...
<p>This dendrogram represents the result of the HCA (Hierarchical cluster analysis). The plot shows ...
<p>The cluster shown represents 3,117 genes. Each row represents a gene, whereas each column corresp...
<p><b>(A)</b> Dendrogram of similarity-based hierarchical clustering. For more detail, see <a href="...
<p>Each pair of datasets of the same disease cluster together based on hierarchical clustering appli...
<p>Young patients are shown in black, older patients are shown in grey. The clustering was performed...
<p>All subjects included in the study have been arranged according to the similarity-dissimilarity o...
The vertical axis of the dendrogram represents the distance or dissimilarity between labeled cluster...
<p>Dendrogram for clustering experiments was created using centred correlation and average linkage m...
<p>Dendrogram of hierarchical clustering showing a clear distinction between control MCF-7 and cells...
(a) Dendrogram illustrating the results of hierarchical clustering. (b) Silhouette coefficients calc...
<p>Based on the log10(IC20), the clustering used the Euclidean dissimilarity measure. A. Heat map re...
Dendrogram resulting from hierachical clustering analysis and presenting different clusters of corre...
<p>Dendrogram resulting from the Hierarchical Clustering Analysis of the 16 variables.</p
<p>Unsupervised Hierarchical Clustering of all samples following quantile normalization highlighting...
A dendrogram from the cluster analysis using Ward’s hierarchical method for the observed concentrati...
<p>This dendrogram represents the result of the HCA (Hierarchical cluster analysis). The plot shows ...
<p>The cluster shown represents 3,117 genes. Each row represents a gene, whereas each column corresp...
<p><b>(A)</b> Dendrogram of similarity-based hierarchical clustering. For more detail, see <a href="...
<p>Each pair of datasets of the same disease cluster together based on hierarchical clustering appli...
<p>Young patients are shown in black, older patients are shown in grey. The clustering was performed...
<p>All subjects included in the study have been arranged according to the similarity-dissimilarity o...
The vertical axis of the dendrogram represents the distance or dissimilarity between labeled cluster...
<p>Dendrogram for clustering experiments was created using centred correlation and average linkage m...
<p>Dendrogram of hierarchical clustering showing a clear distinction between control MCF-7 and cells...
(a) Dendrogram illustrating the results of hierarchical clustering. (b) Silhouette coefficients calc...