<p>The relatively high performing “Parameter given” results refer to cases when the true number of cluster is given to the algorithm as input. In all the other cases the number of cluster is computed by using internal validity measures. (a) Affymetrix data; (b) cDNA data.</p
<p>The accuracy summary for the cluster assignment is based on 50 simulated datasets under each mode...
Data clustering is frequently utilized in the early stages of analyzing big data. It enables the exa...
In the present paper we compare clustering solutions using indices of paired agreement. We propose a...
The upper plots correspond to the ARI and Jaccard indices averaged for all datasets containing 10 cl...
<p>Average Rand indexes over all small replicates are indicated for each method and each model along...
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...
Performance comparison of clustering algorithms are often done in terms of different confusion matri...
This work is an overview of some of the most frequently used algorithms for cluster analysis and som...
<p>A figure of merit is an estimate of the predictive power of a clustering algorithm. The lower the...
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...
For each metric (i.e. precision, NMI, ARI, and F-measure) and each integration method, each data poi...
<p>The accuracy summary for the cluster assignment is based on 50 simulated datasets under each mode...
Data clustering is frequently utilized in the early stages of analyzing big data. It enables the exa...
In the present paper we compare clustering solutions using indices of paired agreement. We propose a...
The upper plots correspond to the ARI and Jaccard indices averaged for all datasets containing 10 cl...
<p>Average Rand indexes over all small replicates are indicated for each method and each model along...
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...
Performance comparison of clustering algorithms are often done in terms of different confusion matri...
This work is an overview of some of the most frequently used algorithms for cluster analysis and som...
<p>A figure of merit is an estimate of the predictive power of a clustering algorithm. The lower the...
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...
For each metric (i.e. precision, NMI, ARI, and F-measure) and each integration method, each data poi...
<p>The accuracy summary for the cluster assignment is based on 50 simulated datasets under each mode...
Data clustering is frequently utilized in the early stages of analyzing big data. It enables the exa...
In the present paper we compare clustering solutions using indices of paired agreement. We propose a...