<p>The values of Macro-Precision, Macro-Recall, Macro-F1 and Micro-F1 under different topic features from LDA method.</p
<p>Comparison of the mean average precision of the MLLE, LLE, MSE, PCA and LE methods.</p
<p>Comparison of the mean precision and recall values on flipped microarray datasets.</p
Robustness check for a potential dependency of our finding on the choice of topic modeling method us...
<p>The values of Macro-Precision, Macro-Recall, Macro-F1 and Micro-F1 under different number of feat...
<p>The values of Macro-Precision, Macro-Recall, Macro-F1 and Micro-F1 under different number of feat...
<p>Compare word representation of topics in the Bio-LDA model to topics in the LDA model.</p
<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: r...
Robustness check for a potential dependency of our finding on the number of topics used to train the...
<p>Accuracy rates of LDA classification for healthy, MGUS, and MM populations.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Robustness check for a potential dependency of our finding on the order of documents used to train t...
<p>Result on the average precision, recall, and F-measure with varying in the best case using featu...
<p>Recall value comparisons for different clustering algorithms using the overlapping technique.</p
<p>Macro F-measure across feature selection schemes, subsets of features and classifier.</p
Comparison of accuracy and feature dimension under different methods based on mRMR.</p
<p>Comparison of the mean average precision of the MLLE, LLE, MSE, PCA and LE methods.</p
<p>Comparison of the mean precision and recall values on flipped microarray datasets.</p
Robustness check for a potential dependency of our finding on the choice of topic modeling method us...
<p>The values of Macro-Precision, Macro-Recall, Macro-F1 and Micro-F1 under different number of feat...
<p>The values of Macro-Precision, Macro-Recall, Macro-F1 and Micro-F1 under different number of feat...
<p>Compare word representation of topics in the Bio-LDA model to topics in the LDA model.</p
<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: r...
Robustness check for a potential dependency of our finding on the number of topics used to train the...
<p>Accuracy rates of LDA classification for healthy, MGUS, and MM populations.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
Robustness check for a potential dependency of our finding on the order of documents used to train t...
<p>Result on the average precision, recall, and F-measure with varying in the best case using featu...
<p>Recall value comparisons for different clustering algorithms using the overlapping technique.</p
<p>Macro F-measure across feature selection schemes, subsets of features and classifier.</p
Comparison of accuracy and feature dimension under different methods based on mRMR.</p
<p>Comparison of the mean average precision of the MLLE, LLE, MSE, PCA and LE methods.</p
<p>Comparison of the mean precision and recall values on flipped microarray datasets.</p
Robustness check for a potential dependency of our finding on the choice of topic modeling method us...
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