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Figure 8 | Algorithms for Molecular Biology

Figure 8

From: Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps

Figure 8

Visualization of HCA/K-means results. Visualization of results from hierarchical clustering combined with K-means with K = 33 prototypes. Top: pruned average linkage HCA dendrogram (vertical axis represents Euclidean distance). Second row: resulting K-means prototype vectors (vertical axis: conditions). Third row: bar plot of the corresponding cluster sizes (vertical axis: cluster size). Fourth row: scaled prototypes with width according to cluster size.

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