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Table 2 BMI vs R A

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

-0.1397

-0.2682

-0.3476

Gaussian3

-0.2207

-0.997

0.3336

Gaussian5

-0.9918

-1

-

Leukemia

-0.9512

-0.9830

-0.9754

Lymphoma

-0.9498

-0.9465

-0.3409

NCI60

-0.6241

-0.6060

-0.6485

Novartis

-0.8998

-0.8787

-0.8750

Simulated6

-0.9249

-0.9800

-0.4720

Yeast

-0.5121

-0.5106

-0.6246

  1. The Pearson correlation between the BMI and R A 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.