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Published online Apr 15, 2010. doi: 10.1371/journal.pcbi.1000742
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Object name is pcbi.1000742.g002.jpg Object name is pcbi.1000742.g002.jpg
Figure 2
Benchmarking different clustering methods on simulated data.
JointCluster detected implanted clusters on instances of randomly generated graphs An external file that holds a picture, illustration, etc.
Object name is pcbi.1000742.e028.jpg better than Coassociation and single tree methods, especially when the cluster structure was not strong, in two cases: (A) noise level in both An external file that holds a picture, illustration, etc.
Object name is pcbi.1000742.e029.jpg were varied together, (B) noise level An external file that holds a picture, illustration, etc.
Object name is pcbi.1000742.e030.jpg of An external file that holds a picture, illustration, etc.
Object name is pcbi.1000742.e031.jpg was fixed at An external file that holds a picture, illustration, etc.
Object name is pcbi.1000742.e032.jpg and of An external file that holds a picture, illustration, etc.
Object name is pcbi.1000742.e033.jpg was varied from 0 to 16. The quality of the clustering detected by a method is measured as the standard Jaccard index measure between the detected and true clustering (y axis), averaged over all random instances for each setting of the noise level parameter An external file that holds a picture, illustration, etc.
Object name is pcbi.1000742.e034.jpg (x axis). The average number of edges incident at each node is 16, so An external file that holds a picture, illustration, etc.
Object name is pcbi.1000742.e035.jpg indicates a false positive rate of 50%.
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