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Fig. 4 | BMC Bioinformatics

Fig. 4

From: A unified framework for the integration of multiple hierarchical clusterings or networks from multi-source data

Fig. 4

Results for the simulation study on hierarchical clustering data for kernel combination. 3 classifications with \(K = 4, 3\) and 5 groups respectively were simulated following Eq. 2 (A) represents the hierarchical clustering obtained with the distance matrix derived from the consensus kernel, performed with complete linkage. B represents the C-coefficient between the cophenetic kernel tables, on which (A) was built and ordered according to the hierarchical clustering of (A)

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BMC Bioinformatics

ISSN: 1471-2105

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