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Figure 1 | BMC Proceedings

Figure 1

From: A marginalized variational bayesian approach to the analysis of array data

Figure 1

Results for the wine data set (left column), lung cancer data set (middle column) and leukemia data set (right column). Top row (a-c): free energy bounds comparison (upper curve:MVB, lower curve:VB). Middle row (d-f): free energy (y-axis) versus K MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaWenfgDOvwBHrxAJfwnHbqeg0uy0HwzTfgDPnwy1aaceaGae8NcXVeaaa@375D@ , the number of clusters. Bottom row (g-i): the normalized ∑ g rdg, kgives a confidence measure that sample d belongs to a cluster k. For the two cancer datasets, samples separated by dashed lines belong to an identified class e.g. adenocarcinoma samples or small cell lung cancer samples (figure (h), see text).

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