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Table 3 BMI vs F

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

 

d 2

d r

d MI

CNS Rat

-0.4590

-0.1684

-0.5910

Gaussian3

-0.5031

-0.8714

-0.5371

Gaussian5

-0.5518

-1

-

Leukemia

-0.8155

-0.8246

-0.8068

Lymphoma

-0.6329

-0.5915

-0.5896

NCI60

-0.86139

-0.8533

-0.8529

Novartis

-0.793199

-0.7194

-0.8283

Simulated6

-0.9419

-0.9373

-0.4966

Yeast

-0.4808

-0.3151

0.5448

  1. The Pearson correlation between the BMI and F values computed on all the clustering solutions mapped in the CROC of each of the considered distances, for each dataset. For Gaussian5, the d MI is not computed due to the small number of features. The strong correlation values are shown in bold, while the weak correlations in grey.