Figure 1From: A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysisCROC 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.Back to article page