<p>Reported is the mean of clustering accuracies from 100 runs of Basic NMF together with the standard error of the mean.</p
All artificial datasets were used for evaluation. The averages were calculated separately for datase...
<p>The maximum normalized bias at truncation cluster size of 6 is 0.164% for M and 0.299% for A<sub>...
<p>The accuracy summary for the cluster assignment is based on 50 simulated datasets under each mode...
Clustering is basically one of the major sources of primary data mining tools, which make researcher...
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...
In this paper, we develop a new methodology for comparing normalization procedures based on differe...
<p>Average clustering coefficient for varying <i>N</i> and <i>MTE</i> = 10×<i>N</i>.</p
<p>Comparison of the accuracy for the two methods of clustering: For the Reduced-Ncut, we initially ...
ARIdef represents the average accuracy obtained when considering the default parameters of the algor...
<p>Comparison between the accuracy rates achieved with the proposed intensity normalization methodol...
(A) Clustering performance with and without preprocessing, in which "ALL" refers to using all four p...
<p>Intra-class correlation coefficient closer to 1 indicates better agreement. Good agreement is see...
<p>a) shows rates when the proportion of studies reporting in the clusters is 40%, 50%, and 60%. b) ...
All artificial datasets were used for evaluation. The averages were calculated separately for datase...
All artificial datasets were used for evaluation. The averages were calculated separately for datase...
<p>The maximum normalized bias at truncation cluster size of 6 is 0.164% for M and 0.299% for A<sub>...
<p>The accuracy summary for the cluster assignment is based on 50 simulated datasets under each mode...
Clustering is basically one of the major sources of primary data mining tools, which make researcher...
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...
In this paper, we develop a new methodology for comparing normalization procedures based on differe...
<p>Average clustering coefficient for varying <i>N</i> and <i>MTE</i> = 10×<i>N</i>.</p
<p>Comparison of the accuracy for the two methods of clustering: For the Reduced-Ncut, we initially ...
ARIdef represents the average accuracy obtained when considering the default parameters of the algor...
<p>Comparison between the accuracy rates achieved with the proposed intensity normalization methodol...
(A) Clustering performance with and without preprocessing, in which "ALL" refers to using all four p...
<p>Intra-class correlation coefficient closer to 1 indicates better agreement. Good agreement is see...
<p>a) shows rates when the proportion of studies reporting in the clusters is 40%, 50%, and 60%. b) ...
All artificial datasets were used for evaluation. The averages were calculated separately for datase...
All artificial datasets were used for evaluation. The averages were calculated separately for datase...
<p>The maximum normalized bias at truncation cluster size of 6 is 0.164% for M and 0.299% for A<sub>...
<p>The accuracy summary for the cluster assignment is based on 50 simulated datasets under each mode...
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