<p>Each column presents a different clustering measure (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003297#s4" target="_blank">Materials and Methods</a> for details), and each bar represents a different distance measure, where the colors specify the distance measures as noted in the legend. The first group of bars (from left to right) presents the results using the NJ algorithm, the second group of bars presents the results using the QMC algorithm, the third presents the results using the UPGMA algorithm, and the last one presents the results using the BATWING tool. Rows description: (A) The average score of all the methods, where higher values (that are transformations of the real scores) indicate better...
(A-C) The NMI of the different methods on the three large datasets (A), six gold standard datasets (...
ARIdef represents the average accuracy obtained when considering the default parameters of the algor...
ARIdef represents the average accuracy obtained when considering the default parameters of the algor...
<p>Upper panels – Mouse, Lower panels- Human. Each column presents a different clustering measure (s...
<p>Each column presents a different depth quality measure (see <a href="http://www.ploscompbiol.org/...
<p>The table represents the results of the three clustering measures (QLC, TE and HS) over 10 NJ rec...
Hierarchical clustering (Euclidean distance) of the scores each method received over different bench...
(A) The clustering time of different methods. (B) The ARI of different methods on three large datase...
Performance comparison of clustering algorithms are often done in terms of different confusion matri...
For each metric (i.e. precision, NMI, ARI, and F-measure) and each integration method, each data poi...
<p>Average Rand indexes over all small replicates are indicated for each method and each model along...
(A) The clustering runtime vs. the number of cells in the simulated datasets for all four methods. (...
Data clustering is frequently utilized in the early stages of analyzing big data. It enables the exa...
The scores for the precision, recall, F1-score, and accuracy metrics are shown for all four classifi...
<p>Columns correspond to the following algorithms, ClusterONE, CMC, CFinder, MCL, OSLOM and RFC from...
(A-C) The NMI of the different methods on the three large datasets (A), six gold standard datasets (...
ARIdef represents the average accuracy obtained when considering the default parameters of the algor...
ARIdef represents the average accuracy obtained when considering the default parameters of the algor...
<p>Upper panels – Mouse, Lower panels- Human. Each column presents a different clustering measure (s...
<p>Each column presents a different depth quality measure (see <a href="http://www.ploscompbiol.org/...
<p>The table represents the results of the three clustering measures (QLC, TE and HS) over 10 NJ rec...
Hierarchical clustering (Euclidean distance) of the scores each method received over different bench...
(A) The clustering time of different methods. (B) The ARI of different methods on three large datase...
Performance comparison of clustering algorithms are often done in terms of different confusion matri...
For each metric (i.e. precision, NMI, ARI, and F-measure) and each integration method, each data poi...
<p>Average Rand indexes over all small replicates are indicated for each method and each model along...
(A) The clustering runtime vs. the number of cells in the simulated datasets for all four methods. (...
Data clustering is frequently utilized in the early stages of analyzing big data. It enables the exa...
The scores for the precision, recall, F1-score, and accuracy metrics are shown for all four classifi...
<p>Columns correspond to the following algorithms, ClusterONE, CMC, CFinder, MCL, OSLOM and RFC from...
(A-C) The NMI of the different methods on the three large datasets (A), six gold standard datasets (...
ARIdef represents the average accuracy obtained when considering the default parameters of the algor...
ARIdef represents the average accuracy obtained when considering the default parameters of the algor...