The upper plots correspond to the ARI and Jaccard indices averaged for all datasets containing 10 classes and 2 features (DB10C2F). The lower plots correspond to the Silhouette and Dunn indices for the same dataset. The red line indicates the actual number of clusters in the dataset.</p
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) cluster...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
The upper plots correspond to the ARI and Jaccard indices averaged for all datasets containing 10 cl...
The plots correspond to the ARI, Jaccard and FM indexes averaged for all datasets containing 10 clas...
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...
Shown are the NMI score and number of clusters (m′) predicted by MapperPlus, affinity propagation, D...
<p>The relatively high performing “Parameter given” results refer to cases when the true number of c...
<p>The accuracy summary for the cluster assignment is based on 50 simulated datasets under each mode...
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...
ARIdef represents the average accuracy obtained when considering the default parameters of the algor...
<p>A figure of merit is an estimate of the predictive power of a clustering algorithm. The lower the...
<p>The plots represent the comparison of five different methods of finding optimum number of cluster...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) cluster...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
The upper plots correspond to the ARI and Jaccard indices averaged for all datasets containing 10 cl...
The plots correspond to the ARI, Jaccard and FM indexes averaged for all datasets containing 10 clas...
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...
Shown are the NMI score and number of clusters (m′) predicted by MapperPlus, affinity propagation, D...
<p>The relatively high performing “Parameter given” results refer to cases when the true number of c...
<p>The accuracy summary for the cluster assignment is based on 50 simulated datasets under each mode...
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...
ARIdef represents the average accuracy obtained when considering the default parameters of the algor...
<p>A figure of merit is an estimate of the predictive power of a clustering algorithm. The lower the...
<p>The plots represent the comparison of five different methods of finding optimum number of cluster...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) cluster...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...
<p>Clusters are represented by different colors or types of marker. A) 7 actual clusters. B) Cluster...