<p>The clustering results are illustrated by shadows, and the line represents the average spreads.</p
Quantitative evaluation of the different clustering algorithms for pavia centre image.</p
<p>Clusters plotted over the two main dimensions in scores (biggest points represent group average)<...
Average cluster scores are shown at the top and bottom of the ladder. Clusters are positioned on the...
(a) Dendrogram illustrating the results of hierarchical clustering. (b) Silhouette coefficients calc...
<p>The black open circles show the average values in each property and the black lines indicate the ...
Illustration of the clustering results from SCG (red background), SCClone (blue background), BnpC (g...
<p>Clustering results from the selected cut levels. Bilaterally symmetric clusters are displayed in ...
<p>Each individual is represented by a bar showing the individual’s estimated membership to a partic...
Silhouette analysis for K-Means clustering on 30 provinces with n_clusters = 3,4,5.</p
<p>(A) Normalized mass vs. Time for all clusters that were analyzed. (B) Normalized area vs. time fo...
<p>Clustering trends of coverage rates in cluster before (a) and after spatial smoothing (b).</p
Note: The order of the data in the figure is consistent with the order of the data samples in Table ...
<p>Cluster results for females (left column) and males (right column) are presented as star plots, w...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
Quantitative evaluation of the different clustering algorithms for pavia centre image.</p
<p>Clusters plotted over the two main dimensions in scores (biggest points represent group average)<...
Average cluster scores are shown at the top and bottom of the ladder. Clusters are positioned on the...
(a) Dendrogram illustrating the results of hierarchical clustering. (b) Silhouette coefficients calc...
<p>The black open circles show the average values in each property and the black lines indicate the ...
Illustration of the clustering results from SCG (red background), SCClone (blue background), BnpC (g...
<p>Clustering results from the selected cut levels. Bilaterally symmetric clusters are displayed in ...
<p>Each individual is represented by a bar showing the individual’s estimated membership to a partic...
Silhouette analysis for K-Means clustering on 30 provinces with n_clusters = 3,4,5.</p
<p>(A) Normalized mass vs. Time for all clusters that were analyzed. (B) Normalized area vs. time fo...
<p>Clustering trends of coverage rates in cluster before (a) and after spatial smoothing (b).</p
Note: The order of the data in the figure is consistent with the order of the data samples in Table ...
<p>Cluster results for females (left column) and males (right column) are presented as star plots, w...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
Quantitative evaluation of the different clustering algorithms for pavia centre image.</p
<p>Clusters plotted over the two main dimensions in scores (biggest points represent group average)<...
Average cluster scores are shown at the top and bottom of the ladder. Clusters are positioned on the...
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