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Figure 8 | BMC Bioinformatics

Figure 8

From: Classification of bioinformatics workflows using weighted versions of partitioning and hierarchical clustering algorithms

Figure 8

Combined classification results obtained for the Armadillo and my Experiment datasets ( n =  220) using hierarchical clustering. The average Robinson and Foulds topological distance (± SEM) was used to measure clustering performances. The unweighted encoding strategies were respectively denoted as Unw I, II (combined results for unweighted encodings of Types I and II are presented) and as Unw III, IV (combined results for unweighted encodings of Types III and IV are presented). Panel (a) illustrates the effect of the encoding type for both unweighted (first two bars) and weighted (last four bars) encodings; panel (b) - the effect of the applied hierarchical clustering algorithm; panel (c) - the effect of the distance measure.

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BMC Bioinformatics

ISSN: 1471-2105

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