<p>Top: time–concentration curves for different clusters. Bottom: mean curve for <i>M</i> values of 0.0212, 5.8216e-004, 1.7180e-004, 2.3354e-004, 0.0205, respectively. The mean curve for <i>M</i> = 0.0212 was thus selected to represent the estimated AIF.</p
<p>First row represents the cluster prediction index, second row represents the plot of proportion o...
The upper plots correspond to the ARI and Jaccard indices averaged for all datasets containing 10 cl...
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
<p>Top: time–concentration curves for different clusters. Bottom: mean curve for <i>M</i> values of ...
<p>Top: time–concentration curves for different clusters. Bottom: mean curves for <i>M</i> values of...
<p>Top: time–concentration curves for different clusters. Bottom: mean curve for <i>M</i> values of ...
<p>Each algorithm was executed independently 100 times in succession, and the robustness values were...
<p>Both algorithms were independently executed 50 times in succession. The robustness is 0.131 for t...
<p>The first sub-figure showed the optimal slice image of the randomly selected subject for clusteri...
<p>Relative to FCM, the <i>K</i>-means-based AIF shows similar TTP, higher PV, larger AUC, and narro...
<p>Comparison of the AIFs obtained using <i>k</i>-means, FCM, and AH clustering methods.</p
<p>Statistical analysis of the results derived from FCM and <i>K</i>-means methods for AIF detection...
<p>Comparison of AIFs obtained using different clustering algorithms and the true AIF.</p
<p>Kaplan-Meier curves for OS and DFS according to (A–B) miR-211 above and below median expression (...
<p>Comparison of AIFs obtained using different clustering methods and the true AIF.</p
<p>First row represents the cluster prediction index, second row represents the plot of proportion o...
The upper plots correspond to the ARI and Jaccard indices averaged for all datasets containing 10 cl...
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
<p>Top: time–concentration curves for different clusters. Bottom: mean curve for <i>M</i> values of ...
<p>Top: time–concentration curves for different clusters. Bottom: mean curves for <i>M</i> values of...
<p>Top: time–concentration curves for different clusters. Bottom: mean curve for <i>M</i> values of ...
<p>Each algorithm was executed independently 100 times in succession, and the robustness values were...
<p>Both algorithms were independently executed 50 times in succession. The robustness is 0.131 for t...
<p>The first sub-figure showed the optimal slice image of the randomly selected subject for clusteri...
<p>Relative to FCM, the <i>K</i>-means-based AIF shows similar TTP, higher PV, larger AUC, and narro...
<p>Comparison of the AIFs obtained using <i>k</i>-means, FCM, and AH clustering methods.</p
<p>Statistical analysis of the results derived from FCM and <i>K</i>-means methods for AIF detection...
<p>Comparison of AIFs obtained using different clustering algorithms and the true AIF.</p
<p>Kaplan-Meier curves for OS and DFS according to (A–B) miR-211 above and below median expression (...
<p>Comparison of AIFs obtained using different clustering methods and the true AIF.</p
<p>First row represents the cluster prediction index, second row represents the plot of proportion o...
The upper plots correspond to the ARI and Jaccard indices averaged for all datasets containing 10 cl...
<p>Clustering analysis results, indicating the number, configuration and distinctiveness (mixing pro...
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