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Fig. 14 | BioData Mining

Fig. 14

From: DIVIS: a semantic DIstance to improve the VISualisation of heterogeneous phenotypic datasets

Fig. 14

Heatmaps of the concordance matrices between KMeans clusters for 6 clusters and the other tested clustering algorithms for semantic distances. In each heatmap, columns correspond to the KMeans clusters and rows to the clusters for the other algorithm. This other algorithm corresponds to Birch, Hierarchical Clustering and Gaussian Mixture for the top three heatmaps and to KMedoids, and Spectral Clustering for the last two

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