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Figure 1 | BMC Bioinformatics

Figure 1

From: A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis

Figure 1

CROC Euclidean. The CROC curve and plot of the clustering solutions for each dataset in the case of the Euclidean distance. Each subfigure is referred to a dataset. The markers show TPR versus FPR of each clustering solution. The area in gray represents the set of points which have a better performance with respect to the best distance point for BMI, while the dotted line represents set of points with the same performance. Complete link, K-means and Average link fall into the gray region for most of the dataset.

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